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Full publication list of NAVER Cloud

2023

Target venues (52): AAAI (6), CHI (4), ICLR (8), ICASSP (10), EACL (1), CVPR (8), ICML (5), ACL (10)
  1. 1.
    Hwaran Lee (NAVER AI Lab, NAVER Cloud), Seokhee Hong (SNU), Joonsuk Park (NAVER AI Lab, NAVER Cloud), Takyoung Kim (NAVER AI Lab, NAVER Cloud), Meeyoung Cha (KAIST), Yejin Choi (UW), BYOUNGPIL KIM (KAIST), Gunhee Kim (SNU), Eun-Ju Lee (SNU), Yong Lim (SNU), Alice Oh (KAIST), Sangchul Park (SNU) and Jung-Woo Ha (NAVER AI Lab, NAVER Cloud). SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL 2023.
  2. 2.
    Deokjae Lee (SNU), JunYeong Lee (SNU), Jung-Woo Ha (NAVER AI Lab, NAVER Cloud), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud), Sang-Woo Lee (NAVER AI Lab, NAVER Cloud), Hwaran Lee (NAVER AI Lab, NAVER Cloud) and Hyun Oh Song (SNU). Query-Efficient Black-Box Red Teaming via Bayesian Optimization. ACL 2023.
  3. 3.
    Kyuyong Shin (NAVER AX, NAVER Cloud), Hanock Kwak (NAVER AX, NAVER Cloud), Wonjae Kim (NAVER AI Lab, NAVER Cloud), Jisu Jeong (NAVER AX, NAVER Cloud), Seungjae Jung (NAVER AX, NAVER Cloud), Kyungmin Kim (NAVER AX, NAVER Cloud), Jung-Woo Ha(NAVER AI Lab, NAVER Cloud) and Sang-Woo Lee(NAVER AI Lab, NAVER Cloud). Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. ACL 2023. [paper]
  4. 4.
    Dongkeun Yoon (KAIST), Joel Jang (KAIST), Sungdong Kim ( (NAVER AI Lab/Cloud, KAIST) and Minjoon Seo (KAIST). Gradient Ascent Post-training Enhances Language Model Generalization. ACL 2023.
  5. 5.
    Jaewoo Ahn (SNU), Yeda Song (SNU), Sangdoo Yun (NAVER AI Lab) and Gunhee Kim (SNU). MPCHAT: Towards Multimodal Persona-Grounded Conversation. ACL 2023.
  6. 6.
    Minbeom Kim (SNU), Hwanhee Lee (Chung-Ang Univ.), Kang Min Yoo (NAVER AI Lab, NAVER Cloud), Joonsuk Park (NAVER AI Lab, NAVER Cloud, Univ. of Richmond), Hwaran Lee* (NAVER AI Lab, NAVER Cloud) and Kyomin Jung* (SNU). Critic-Guided Decoding for Controlled Text Generation. Findings in ACL 2023.
  7. 7.
    Miyoung Ko (KAIST), Ingyu Seong (Samsung Research), Hwaran Lee (NAVER AI Lab, NAVER Cloud), Joonsuk Park (NAVER AI Lab, NAVER Cloud, Univ. of Richmond), Minsuk Chang (Google Brain) and Minjoon Seo (KAIST). ClaimDiff: Comparing and Contrasting Claims on Contentious Issues. Findings in ACL 2023.
  8. 8.
    Yujin Baek(KAIST), Koanho Lee(KAIST), Dayeon Ki(KAIST), Hyoung-Gyu Lee(NAVER Cloud Papago), Cheonbok Park(NAVER Cloud Papago) and Jaegul Choo(KAIST). Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. Findings in ACL 2023.
  9. 9.
    Dongju Park* (NAVER CLOUD), Soonwon Ka* (NAVER CLOUD), Kang Min Yoo* (NAVER CLOUD, NAVER AI Lab), Gichang Lee (NAVER CLOUD) and Jaewook Kang (NAVER CLOUD). HyperT5: Towards Compute-Efficient Korean Language Modeling. ACL 2023 Industrial Track.
  10. 10.
    Hwaran Lee* (NAVER AI Lab, NAVER Cloud), Seokhee Hong* (SNU), Joonsuk Park (NAVER AI Lab, NAVER Cloud), Takyoung Kim (NAVER AI Lab), Gunhee Kim (SNU) and Jung-Woo Ha (NAVER AI Lab, NAVER Cloud). KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications. ACL 2023 Industrial Track.
  11. 11.
    Hwan Heo (Korea Univ.), Taekyung Kim (NAVER AI Lab, NAVER Cloud), Jiyoung Lee (NAVER AI Lab, NAVER Cloud), Jaewon Lee (Korea Univ.), Soohyun Kim (Korea Univ.), Hyunwoo J. Kim (Korea Univ.), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud). Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. ICML 2023. [paper]
  12. 12.
    Jung Hyun Lee (NAVER CLOUD), Jeonghoon Kim (NAVER CLOUD), Se Jung Kwon (NAVER CLOUD), Dongsoo Lee (NAVER CLOUD). FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. ICML 2023. [paper]
  13. 13.
    Dongjun Kim (KAIST), Yeongmin Kim (KAIST), Se Jung Kwon (NAVER CLOUD), Wanmo Kang (KAIST), Il-chul Moon (KAIST). Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. ICML 2023. [paper]
  14. 14.
    Seungjin Jung (ChungAng Univ.), Seungmo Seo (ChungAng Univ.), Yonghyun Jeong (NAVER Cloud), Jongwon Choi (ChungAng Univ.). Scaling of Class-wise Training Losses for Post-hoc Calibration. ICML 2023. [paper]
  15. 15.
    Dongyoung Go (NAVER AX, NAVER Cloud), Tomasz Korbak (University of Sussex), Germán Kruszewski (Naver Labs Europe), Jos Rozen (Naver Labs Europe), Nahyeon Ryu (NAVER AX, NAVER Cloud), Marc Dymetman (Independent Researcher). Aligning Language Models with Preferences through f-divergence Minimization. ICML 2023. [paper]
  16. 16.
    Pilhyeon Lee (Yonsei U.), Taeoh Kim (NAVER Cloud), Minho Shim (NAVER Cloud), Dongyoon Wee (NAVER Cloud), Hyeran Byun (Yonsei U.). Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection. CVPR 2023. [paper]
  17. 17.
    Taeho Kil (NAVER Cloud), Seonghyeon Kim(Kakao Brain), Sukmin Seo (NAVER Cloud), Yoonsik Kim (NAVER Cloud), Dahee Kim (NAVER Cloud). Towards Unified Scene Text Spotting based on Sequence Generation. CVPR 2023. [paper][github]
  18. 18.
    Gi-Cheon Kang (SNU), Sungdong Kim (NAVER AI Lab, NAVER Cloud), Jin-Hwa Kim (NAVER AI Lab, NAVER Cloud), Donghyun Kwak (NAVER Cloud), Byoung-Tak Zhang (SNU). The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CVPR 2023. [paper][github]
  19. 19.
    Jungin Park (Yonsei Univ.), Jiyoung Lee (NAVER AI Lab, NAVER Cloud), Kwanghoon Sohn (Yonsei Univ.). Dual-path Adaptation from Image to Video Transformers. CVPR 2023. [paper][github]
  20. 20.
    Gyeongman Kim (KAIST), Hajin Shim (KAIST), Hyunsu Kim (NAVER AI Lab), Yunjey Choi (NAVER AI Lab, NAVER Cloud), Junho Kim (NAVER AI Lab, NAVER Cloud), Eunho Yang (KAIST). Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. CVPR 2023. [paper][github][project]
  21. 21.
    Beomyoung Kim (NAVER Cloud, KAIST), Joonhyun Jeong (NAVER Cloud, KAIST), Dongyoon Han (NAVER AI Lab, NAVER Cloud), Sung Ju Hwang (KAIST). The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR 2023. [paper][github]
  22. 22.
    Hyungseob Shin (Yonsei Univ.), Hyeongyu Kim (Yonsei Univ.), Sewon Kim (NAVER AI Lab, NAVER Cloud), Yohan Jun (Massachusetts General Hospital), Taejoon Eo (Yonsei Univ.), Dosik Hwang (Yonsei Univ.). SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. CVPR 2023. [paper]
  23. 23.
    Hyeon Cho (Ajou Univ.), Junyong Choi (Ajou Univ.), Geonwoo Baek (Ajou Univ.), Wonjun Hwang (Ajou Univ., NAVER AI Lab). itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection. CVPR 2023. [paper]
  24. 24.
    Yifan Peng (CMU), Jaesong Lee (NAVER Cloud), Shinji Watanabe (CMU). I3D: Transformer architectures with input-dependent dynamic depth for speech recognition. ICASSP 2023. [paper]
  25. 25.
    Yoohwan Kwon NAVER Cloud), Soo-Whan Chung (NAVER Cloud). MoLE : Mixture of Language Experts for Multi-Lingual Automatic Speech Recognition. ICASSP 2023. [paper]
  26. 26.
    Jiyoung Lee (NAVER AI Lab, NAVER Cloud), Joon Son Chung (KAIST), Soo-Whan Chung (NAVER Cloud). Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech. ICASSP 2023. [paper][github][project]
  27. 27.
    Youngki Kwon (NAVER Cloud), Hee-Soo Heo (NAVER Cloud), Bong-Jin Lee (NAVER Cloud), You Jin Kim (NAVER Cloud), Jee-weon Jung (NAVER Cloud). Absolute decision corrupts absolutely: conservative online speaker diarisation. ICASSP 2023. [paper]
  28. 28.
    Hee-Soo Heo (NAVER Cloud), Youngki Kwon (NAVER Cloud), Bong-Jin Lee (NAVER Cloud), You Jin Kim (NAVER Cloud), Jee-weon Jung (NAVER Cloud). High-resolution embedding extractor for speaker diarisation. ICASSP 2023. [paper]
  29. 29.
    You Jin Kim (NAVER Cloud), Hee-Soo Heo (NAVER Cloud), Jee-weon Jung (NAVER Cloud), Youngki Kwon (NAVER Cloud), Bong-Jin Lee (NAVER Cloud), Joon Son Chung (KAIST). Advancing the dimensionality reduction of speaker embeddings for speaker diarisation: disentangling noise and informing speech activity. ICASSP 2023. [paper]
  30. 30.
    Jee-weon Jung (NAVER Cloud), Hee-Soo Heo (NAVER Cloud), Bong-Jin Lee (NAVER Cloud), Jaesung Huh (Univ. of Oxford), Andrew Brown (CMU), Youngki Kwon (NAVER Cloud), Shinji Watanabe (CMU), Joon Son Chung (KAIST). In search of strong embedding extractors for speaker diarisation. ICAASP 2023. [paper]
  31. 31.
    Robin Scheibler (LINE), Youna Ji (NAVER Cloud) , Soo-Whan Chung (NAVER Cloud), Jaeuk Byun (NAVER Cloud), Soyeon Choe (NAVER Cloud), Min-Seok Choi (NAVER Cloud). Diffusion-based Generative Speech Source Separation. ICASSP 2023. [paper]
  32. 32.
    Jaeuk Byun (NAVER Cloud), Youna Ji (NAVER Cloud), Soo-Whan Chung (NAVER Cloud), Soyeon Choe (NAVER Cloud), Min-Seok Choe (NAVER Cloud). An empirical study on speech restoration guided by self-supervised speech representation. ICASSP 2023. [paper]
  33. 33.
    Yuma Shirahata (LINE), Ryuichi Yamamoto (LINE), Eunwoo Song (NAVER Cloud), Ryo Terashima (LINE), Jae-Min Kim (NAVER Cloud), Kentaro Tachibana (LINE). Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis. ICASSP 2023. [paper]
  34. 34.
    Jihyeon Lee(KAIST), Taehee Kim(KAIST), Yunwon Tae(Korea Univ.), Cheonbok Park (NAVER Cloud Papago), and Jaegul Choo(KAIST). PePe: Personalized Post-editing Model utilizing User-generated Post-edits. EACL 2023. [paper]
  35. 35.
    Younghoon Byun(POSTECH), Seungsik Moon(POSTECH), Baeseong Park(NAVER CLOUD), Se Jung Kwon(NAVER CLOUD), Dongsoo Lee(NAVER CLOUD), Gunho Park(POSTECH). Eunji Yoo(POSTECH), Jung Gyu Min(POSTECH), Youngjoo Lee(POSTECH). Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys 2023. [paper]
  36. 36.
    Eunji Yoo(POSTECH), Gunho Park(POSTECH), Jung Gyu Min(POSTECH), Se Jung Kwon(NAVER CLOUD), Baeseong park(NAVER CLOUD), Dongsoo Lee(NAVER CLOUD) and Youngjoo Lee(POSTECH). TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. DAC (Design Automation Conference) 2023. [paper]
  37. 37.
    Jiyeon Han (KAIST), Hwanil Choi (KAIST), Yunjey Choi (NAVER AI Lab), Junho Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jaesik Choi (KAIST). Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. ICLR 2023 (Notable-Top-25%). [paper][github]
  38. 38.
    Taeoh Kim (NAVER Cloud), Jinhyung Kim (KAIST), Minho Shim (NAVER Cloud), Sangdoo Yun (Naver AI Lab), Myunggu Kang (NAVER Cloud), Dongyoon Wee (NAVER Cloud), Sangyoun Lee (Yonsei University). Exploring Temporally Dynamic Data Augmentation for Video Recognition. ICLR 2023 (Notable-top-25%). [paper]
  39. 39.
    Sangwon Jung (SNU) Tae Eon Park (SNU) Sanghyuk Chun (NAVER AI Lab) Taesup Moon (SNU). Exact Group Fairness Regularization via Classwise Robust Optimization. ICLR 2023.
  40. 40.
    Hyunseo Koh (GIST), Minhyuk Seo (Yonsei Univ.), Jihwan Bang (NAVER Cloud), Hwanjun Song (NAVER AI Lab), Deokki Hong (Yonsei Univ.), Seulki Park (SNU), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (Yonsei Univ. & NAVER AI Lab). Online Boundary-Free Continual Learning by Scheduled Data Prior. ICLR 2023.
  41. 41.
    Namuk Park (NAVER AI Lab), Wonjae Kim (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Taekyung Kim (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab). What Do Self-Supervised Vision Transformers Learn? ICLR 2023.
  42. 42.
    Dong Bok Lee (KAIST), Seanie Lee (KAIST), Kenji Kawaguchi (National Univ. of Singapore), Yunji Kim (NAVER AI Lab), Jihwan Bang (NAVER CLOUD), Jung-Woo Ha (NAVER AI Lab), Sung Ju Hwang (KAIST). Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR 2023.
  43. 43.
    Yulhwa Kim (SNU), Jaeyong Jang (SNU), Jehun Lee (SNU), Jihoon Park (SNU), Jeonghoon Kim (NAVER Cloud) , Byeongwook Kim (NAVER Cloud), Baeseong Park (NAVER Cloud), Se Jung Kwon (NAVER Cloud), Dongsoo Lee (NAVER Cloud), Jae-Joon Kim (SNU). Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. ICLR 2023.
  44. 44.
    Yoonjeon Kim(KAIST), Hyunsu Kim(NAVER AI Lab), Junho Kim(NAVER AI Lab), Yunjey Choi(NAVER AI Lab), Eunho Yang(KAIST). Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. ICLR 2023.
  45. 45.
    Yoonjoo Lee (KAIST), Tae Soo Kim (KAIST), Sungdong Kim (NAVER AI Lab), Yohan Yun (KAIST), Juho Kim (KAIST). DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions. CHI 2023.
  46. 46.
    GuHyun Han (SNU), Jae Hun Jung (UW), Young-Ho Kim* (NAVER AI Lab), Jinwook Seo* (SNU). DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions. CHI 2023.
  47. 47.
    Mina Huh (UT Austin), Saelyne Yang (KAIST), Yi-Hao Peng (CMU), Xiang 'Anthony' Chen (UCLA), Young-Ho Kim (NAVER AI Lab), Amy Pavel (UT Austin). AVscript: Accessible Video Editing with Audio-Visual Scripts. CHI 2023.
  48. 48.
    Eunkyung Jo (UC Irvine), Daniel A. Epstein (UC Irvine), Hyunhoon Jung (NAVER CLOUD), Young-Ho Kim (NAVER AI Lab). Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention. CHI 2023.
  49. 49.
    Kyuyong Shin (NAVER), Hanock Kwak (NAVER), Su Young Kim (NAVER), Max Nihlen Ramstrom (NAVER), Jisu Jeong (NAVER), Jung-Woo Ha (NAVER AI Lab), Kyung-Min Kim (NAVER).
    ​Scaling Law for Recommendation Models: Towards General-purpose User Representations. AAAI 2023.
  50. 50.
    Jinyoung Park (Korea Univ.), Hyeong Kyu Choi (Korea Univ.), Juyeon Ko (Korea Univ.), Hyeonjin Park (NAVER), Ji-Hoon Kim (NAVER), Jisu Jeong (NAVER), Kyungmin Kim (NAVER), Hyunwoo Kim (Korea Univ.).
    ​Relation-aware Language-Graph Transformer for Question Answering. AAAI 2023.
  51. 51.
    Hyunsoo Cho (SNU), Hyuhng Joon Kim (SNU), Junyeob Kim (SNU), Sang-Woo Lee (NAVER AI Lab), Sang-goo Lee (SNU), Kang Min Yoo^ (NAVER AI Lab), Taeuk Kim^ (Hanyang Univ.)
    ​Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. AAAI 2023.
  52. 52.
    Junyoung Seo (Korea Univ.), Gyuseong Lee (Korea Univ.), Seokju Cho (Korea Univ.), Jiyoung Lee(NAVER AI Lab), Seungryong Kim (Korea Univ.).
    ​MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. AAAI 2023.
  53. 53.
    Jinhyung Kim (KAIST), Taeoh Kim (NAVER CLOUD), Minho Shim (NAVER CLOUD), Dongyoon Han (NAVER AI Lab), Dongyoon Wee (NAVER CLOUD), Junmo Kim (KAIST). Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. AAAI 2023.
  54. 54.
    Sangyeop Yeo (UNIST), Yoojin Jang (UNIST), Jy-yong Sohn (UNIST), Dongyoon Han (NAVER AI Lab), Jaejun Yoo (UNIST).
    ​Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023.

2022

Target venues (97): AAAI (4), CHI (2), ICASSP (7), ICLR (13), ACL (2), CVPR (14), NAACL (5), ICML (5), Interspeech (8), ECCV (13), CIKM (3), COLING (2), ICDM (2), NeurIPS (8), EMNLP (9)
  1. 1.
    Sungdong Kim (NAVER AI Lab), Gangwoo Kim (Korea Univ.). Saving Dense Retriever from Shortcut Dependency in Conversational Search. EMNLP 2022.
  2. 2.
    Hyeongdon Moon* (RiiiD), Yoonseok Yang∗ (RiiiD), Hangyeol Yu (RiiiD), Seungtaek Choi (RiiiD), Seunghyun Lee (RiiiD), Myeongho Jeong (RiiiD), Juneyoung Park (RiiiD), Minsam Kim (RiiiD), Jamin Shin (NAVER AI Lab). Evaluating the Knowledge Dependency of Questions. EMNLP 2022.
  3. 3.
    Zaiqian Chen (Univ. of Richmond), Daniel Verdido Amarante (Univ. of Richmond), Jenna Donaldson (Univ. of Richmond), Yohan Jo (Amazon), Joonsuk Park (NAVER AI Lab & Univ. of Richmond). Argument Mining for Review Helpfulness Prediction. EMNLP 2022.
  4. 4.
    Junyeob Kim* (SNU), Kang Min Yoo*^(NAVER AI Lab), Hyuhng Joon Kim (SNU), Hyunsoo Cho (SNU), Hwiyeol Jo (NAVER CLOVA), Sang-Woo Lee (NAVER CLOVA), Sang-goo Lee (SNU), Taeuk Kim^ (Hanyang Univ.). Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. EMNLP 2022.
  5. 5.
    Gangwoo Kim* (Korea Univ.), Sungdong Kim* (NAVER AI Lab), Kang Min Yoo (NAVER AI Lab), Jaewoo Kang (Korea Univ.). Generating Information-Seeking Conversations from Unlabeled Documents. EMNLP 2022.
  6. 6.
    MinJoon Jung (SNU), SeongHo Choi (SNU), JooChan Kim (SNU), Jin-Hwa Kim* (NAVER AI Lab) and Byoung-Tak Zhang* (SNU). Modal-Specific Pseudo Query Generation for Video Corpus Moment Retrieval. EMNLP 2022.
  7. 7.
    Se Jung Kwon (NAVER CLOVA), Jeonghoon Kim (NAVER CLOVA), Jeongin Bae (NAVER CLOVA), Kang Min Yoo (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab), Baeseong Park (NAVER CLOVA), Byeongwook Kim (NAVER CLOVA), Jung-Woo Ha (NAVER AI Lab), Nako Sung (NAVER CLOVA), Dongsoo Lee (NAVER CLOVA). AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. Findings in EMNLP 2022.
  8. 8.
    Sanghwan Bae (NAVER CLOVA), Donghyun Kwak (NAVER CLOVA), Soyoung Kang (NAVER CLOVA), Min Young Lee (NAVER CLOVA), Sungdong Kim (NAVER AI Lab), Yuin Jeong (NAVER CLOVA), Hyeri Kim (NAVER CLOVA), Sang-Woo Lee (NAVER CLOVA), Woomyoung Park (NAVER CLOVA), Nako Sung (NAVER CLOVA). Keep Me Updated! Memory Management in Long-term Conversations. Findings in EMNLP 2022.
  9. 9.
    Hyunsoo Cho (SNU), Choonghyun Park (SNU), Jaewook Kang, Kang Min Yoo, Taeuk Kim (HYU), Sang-goo Lee (SNU). Improving Out-of-Distribution Detection via Implicit Layer Ensemble. Findings in EMNLP 2022.
  10. 10.
    Balhae Kim (KAIST), Jungwon Choi (KAIST), Seanie Lee (KAIST), Yoonho Lee (Stanford Univ.), Jung-Woo Ha (NAVER AI Lab), Juho Lee (KAIST). On Divergence Measures for Bayesian Pseudocoresets. NeurIPS 2022.
  11. 11.
    Sang-Hoon Lee (Korea Univ.), Seung-Bin Kim (Korea Univ.), Ji-Hyun Lee (Korea Univ.), Eunwoo Song (NAVER CLOVA), Min-Jae Hwang (NAVER CLOVA), Seong-Whan Lee (Korea Univ.). HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis. NeurIPS 2022.
  12. 12.
    Dongjun Kim (KAIST), Byeonghu Na(KAIST), Se Jung Kwon (NAVER CLOVA), Dongsoo Lee(NAVER CLOVA), Wanmo Kang(KAIST), Il-Chul Moon(KAIST). Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. NeurIPS 2022.
  13. 13.
    Inwoo Hwang (SNU), Sangjun Lee (SNU), Yunhyeok Kwak (SNU), Seong Joon Oh (Univ. of Tuebingen), Damien Teney (Idiap), Jin-Hwa Kim (NAVER AI Lab), Byoung-Tak Zhang (SNU). SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS 2022.
  14. 14.
    Jin-Hwa Kim (NAVER AI Lab), Yunji Kim (NAVER AI Lab), Jiyoung Lee (NAVER AI Lab), Kang Min Yoo (NAVER AI Lab), Sang-Woo Lee (NAVER CLOVA). Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. NeurIPS 2022.
  15. 15.
    Dongmin Park (KAIST), Yooju Shin (KAIST), Jihwan Bang (NAVER CLOVA), Youngjun Lee (KAIST), Hwanjun Song (NAVER AI Lab), Jae-Gil Lee (KAIST). Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS 2022.
  16. 16.
    Jaehoon Oh (KAIST), Sungnyun Kim (KAIST), Namgyu Ho (KAIST), Jin-Hwa Kim (NAVER AI Lab), Hwanjun Song (NAVER AI Lab), Se-Young Yun (KAIST). Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS 2022.
  17. 17.
    Chanwoo Park (NAVER AI Lab, MIT CSAIL), Sangdoo Yun (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab). A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS 2022.
  18. 18.
    Chen-Chieh Liao (Tokyo Institute of Technology), Haruki Kikuchi (Tokyo Institute of Technology), Dong-Hyun Hwang (NAVER CLOVA), Hideki Koike (Tokyo Institute of Technology). Virtual Club Shadow: A Real-time Projection of Golf Club Trajectory. IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2022).
  19. 19.
    Chen-Chieh Liao (Tokyo Institute of Technology), Dong-Hyun Hwang (NAVER CLOVA),
    Hideki Koike (Tokyo Institute of Technology). AI Golf: Golf Swing Analysis Tool for Self Training. IEEE Access. 2022.
  20. 20.
    Sewhan Chun (NAVER), Jae Young Lee (KAIST), Junmo Kim (KAIST). Cyclic Test Time Augmentation with Entropy Weight Method. UAI 2022.
  21. 21.
    Young-Jin Park (NAVER CLOVA), Donghyun Kim (SNU), Frédéric Odermatt (ETH Zurich), Juho Lee (NAVER CLOVA), and Kyung-Min Kim (NAVER CLOVA). A Large-Scale Ensemble Learning Framework for Demand Forecasting. ICDM 2022.
  22. 22.
    Dongmin Park (KAIST), Junhyeok Kang (KAIST), Hwanjun Song (NAVER AI Lab), Susik Yoon (KAIST), Jae-Gil Lee (KAIST). Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM 2022.
  23. 23.
    Reinald Kim Amplayo (Google, [email protected] AI Lab ), Kang Min Yoo (NAVER AI Lab), Sang-Woo Lee (NAVER AI Lab). Attribute Injection for Pretrained Language Models: A New Benchmark and An Efficient Method. COLING 2022.
  24. 24.
    Xiaodong Gu (Shanghai Jiao Tong Univ.), Zhaowei Zhang (Shanghai Jiao Tong Univ.), Sang-Woo Lee (NAVER CLOVA), Kang Min Yoo (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING 2022.
  25. 25.
    Wonyoung Shin (NAVER Shopping), Jonghun Park (NAVER Shopping), Taekang Woo (NAVER Shopping), Yongwoo Cho (NAVER Shopping), Kwangjin Oh (NAVER Shopping), Hwanjun Song (NAVER AI Lab). e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. CIKM 2022.
  26. 26.
    SangMook Kim (KAIST), Wonyoung Shin (NAVER Shopping), Soohyuk Jang (POSTECH), Hwanjun Song (NAVER AI Lab), Se-Young Yun (KAIST). FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM 2022.
  27. 27.
    Jaehoon Oh (KAIST, NAVER AI Lab Intern), Sungnyun Kim (KAIST), Namgyu Ho (KAIST), Jin-Hwa Kim (NAVER AI Lab), Hwanjun Song (NAVER AI Lab), Se-Young Yun (KAIST). ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM 2022.
  28. 28.
    Gayoung Lee (NAVER CLOVA AI Lab), Hyunsu Kim (NAVER CLOVA AI Lab), Junho Kim (NAVER CLOVA AI Lab), Seonghyeon Kim (NAVER CLOVA AI Lab), Jung-Woo Ha (NAVER CLOVA AI Lab), Yunjey Choi (NAVER CLOVA AI Lab). Generator Knows What Discriminator Should Learn in Unconditional GANs. ECCV 2022.
  29. 29.
    Sanghyuk Chun (NAVER CLOVA AI Lab), Wonjae Kim (NAVER CLOVA AI Lab), Song Park (NAVER CLOVA AI Lab), Minsuk Chang (Google), Seong Joon Oh (Univ. of Tuebingen). ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. ECCV 2022.
  30. 30.
    Junbum Cha (Kakaobrain), Kyungjae Lee (Chungang Univ.), Sungrae Park (Upstage), Sanghyuk Chun (NAVER CLOVA AI Lab). Domain Generalization by Mutual-Information Regularization with Pre-trained Models. ECCV 2022.
  31. 31.
    Kwonyoung Kim (Yonsei Univ.), Jungin Park (Yonsei Univ.), Jiyoung Lee (NAVER CLOVA AI Lab), Dongbo Min (Ewha Womans Univ.), Kwanghoon Sohn (Yonsei Univ.). PointFix: Learning to Fix Domain Bias for Robust Online Stereo. ECCV 2022.
  32. 32.
    Seong Hyeon Park (KAIST), Jihoon Tack (KAIST), Byeongho Heo (NAVER CLOVA AI Lab), Jung-Woo Ha (NAVER CLOVA AI Lab), Jinwoo Shin (KAIST). K-centered Patch Sampling for Efficient Video Recognition. ECCV 2022.
  33. 33.
    Hyejin Lee (Kookmin Univ.), Daehee Kim (NAVER CLOVA), Daeun Lee (Korea Univ.), Jinkyu Kim (Korea Univ.), Jaekoo Lee (Kookmin Univ.). Bridging the Domain Gap towards Generalization in Automatic Colorization. ECCV 2022.
  34. 34.
    Byeonghu Na (KAIST), Yoonsik Kim (NAVER CLOVA), Sungrae Park (UPSTAGE). Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. ECCV 2022.
  35. 35.
    Geewook Kim (NAVER CLOVA), Teakgyu Hong (UPSTAGE), Moonbin Yim (NAVER CLOVA), Jinyoung Park (TmaxSoft), Jinyeong Yim (NAVER CLOVA), Wonseok Hwang (LBOX), Sangdoo Yun (NAVER CLOVA AI Lab), Dongyoon Han (NAVER CLOVA AI Lab), and Seunghyun Park (NAVER CLOVA). OCR-free Document Understanding Transformer. ECCV 2022.
  36. 36.
    Seonwoo Min (LG AI Research), Nokyung Park (Korea Univ.), Siwon Kim (SNU), Seunghyun Park (NAVER CLOVA), and Jinkyu Kim (Korea Univ.). Grounding Visual Representations with Texts for Domain Generalization. ECCV 2022.
  37. 37.
    Byeong-Ju Han (NAVER CLOVA), Jae-Young Sim (UNIST). RZero-Shot Learning for Reflection Removal of Single 360-Degree Image. ECCV 2022.
  38. 38.
    Jaemin Na (Ajou Univ.), Dongyoon Han (NAVER CLOVA AI Lab), Hyung Jin Chang (University of Birmingham), Wonjun Hwang (Ajou Univ.). Contrastive Vicinal Space for Unsupervised Domain Adaptation. ECCV 2022.
  39. 39.
    Yonghyun Jeong (NAVER CLOVA), Doyeon Kim (LINE+), Youngmin Ro (U. of Seoul), Pyounggeon Kim (Chungang Univ.), Jongwon Choi (Chungang Univ). FingerprintNet: Synthesized Fingerprints for Generated Image Detection. ECCV 2022.
  40. 40.
    Minkyu Jeon(Broad Institute of MIT and Harvard, Korea University), Hyeonjin Park (NAVER CLOVA), Hyunwoo J. Kim (Korea University), Michael Morley (EyeBoston), Hyunghoon Cho (Broad Institute of MIT and Harvard). k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment. ECCV 2022.
  41. 41.
    SangMook Kim (KAIST), SangMin Bae (KAIST), Se-Young Yun (KAIST), Hwanjun Song (NAVER AI Lab). LG-FAL : Federated Active Learning Strategy using Local and Global Models. ICML 2022 Workshop: Adaptive Experimental Design and Active Learning in the Real World. 2022.
  42. 42.
    Gi-Cheon Kang (SNU), Sungdong Kim (NAVER AI Lab) , Jin-Hwa Kim (NAVER AI Lab), Donghyun Kwak (NAVER CLOVA), Byoung-Tak Zhang (SNU). Generative Self-training Improves Pre-training for Visual Dialog. ICML 2022 Pre-training Workshop. 2022.
  43. 43.
    Jaehoon Oh* (KAIST), Sungnyun Kim* (KAIST), Namgyu Ho* (KAIST), Jin-Hwa Kim (NAVER AI Lab), Hwanjun Song (NAVER AI Lab), Se-Young Yun (KAIST). ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. ICML Workshop, 2022: Updatable Machine Learning. 2022.
  44. 44.
    Inwoo Hwang (SNU), Sangjun Lee (SNU), Yunhyeok Kwak (SNU), Seong Joon Oh (Univ. of Tuebuingen), Damien Teney (IDIAP), Jin-Hwa Kim (NAVER AI Lab), Byoung-Tak Zhang (NAVER AI Lab). SelecMix: Debiased Learning by Mixing up Contradicting Pairs. ICML 2022: Workshop on Spurious Correlations, Invariance and Stability (SCIS). 2022.
  45. 45.
    Hyun-Wook Yoon (NAVER CLOVA), Ohsung Kwon (NAVER CLOVA), Hoyeon Lee (NAVER CLOVA), Ryuichi Yamamoto (Line), Eunwoo Song (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA), Min-Jae Hwang (NAVER CLOVA). Language Model-Based Emotion Prediction Methods for Emotional Speech Synthesis Systems. Interspeech 2022.
  46. 46.
    Ryo Terashima (Line), Ryuichi Yamamoto (Line), Eunwoo Song (NAVER CLOVA), Yuma Shirahata (Line), Hyunwook Yoon (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA), Kentaro Tachibana (Line) Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation. Interspeech 2022.
  47. 47.
    Jee-weon Jung (NAVER CLOVA), Youjin Kim (NAVER CLOVA), Hee-Soo Heo (NAVER CLOVA), Bong-Jin Lee (NAVER CLOVA), Youngki Kwon (NAVER CLOVA) and Joon Son Chung (KAIST). Pushing the limits of raw waveform speaker recognition. Interspeech 2022.
  48. 48.
    Jee-weon Jung (NAVER CLOVA), Hemlata Tak (EURECOM), Hye-jin Shim (NAVER CLOVA), Hee-Soo Heo (NAVER CLOVA), Bong-Jin Lee (NAVER CLOVA), Soo-Whan Chung (NAVER CLOVA), Ha-Jin Yu (Univ. of Seoul), Nicholas Evans (EURECOM) and Tomi Kinnunen (EURECOM). SASV 2022: The First Spoofing-Aware Speaker Verification Challenge. Interspeech 2022.
  49. 49.
    Jaesong Lee (NAVER CLOVA), Lukas Lee (NAVER CLOVA) and Shinji Watanabe (CMU). Memory-Efficient Training of RNN-Transducer with Sampled Softmax. Interspeech 2022.
  50. 50.
    Tatsuya Komatsu (LINE), Yusuke Fujita (LINE), Jaesong Lee (NAVER CLOVA), Lukas Lee (NAVER CLOVA), Shinji Watanabe (CMU) and Yusuke Kida (LINE). Better Intermediates Improve CTC Inference. Interspeech 2022.
  51. 51.
    Hyeon-Kyeong Shin (NAVER CLOVA), Hyewon Han (Yonsei Univ.), Doyeon Kim (Yonsei Univ.), Soo-Whan Chung (NAVER CLOVA), Hong-Goo Kang (Yonsei Univ.). Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting. Interspeech 2022.
  52. 52.
    Eunwoo Song (NAVER CLOVA), Ryuichi Yamamoto (LINE), Ohsung Kwon (NAVER CLOVA), Chan-Ho Song (NAVER CLOVA), Min-Jae Hwang (NAVER CLOVA), Suhyeon Oh (NAVER CLOVA), Hyun-Wook Yoon (NAVER CLOVA), Jin-Seob Kim (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA). TTS-by-TTS 2: Data-selective Augmentation for Neural Speech Synthesis Using Ranking Support Vector Machine with Variational Autoencoder. Interspeech 2022.
  53. 53.
    Namuk Park (NAVER AI Lab), Songkuk Kim (Yonsei Univ.). Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. ICML 2022.
  54. 54.
    Giung Nam (KAIST), Hyungi Lee (KAIST), Byeongho Heo (NAVER AI LAB), Juho Lee (KAIST). Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation. ICML 2022.
  55. 55.
    Sukmin Yun (KAIST), Jaehyung Kim (KAIST), Dongyoon Han (NAVER CLOVA AI Lab), Hwanjun Song (NAVER CLOVA AI Lab), Jung-Woo Ha (NAVER CLOVA, AI Lab), Jinwoo Shin (KAIST). Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022.
  56. 56.
    Jang-Hyun Kim (SNU), Jinuk Kim (SNU), Seong Joon Oh (Univ. of Tuebingen, NAVER CLOVA AI Lab), Sangdoo Yun (NAVER CLOVA AI Lab), Hwanjun Song (NAVER CLOVA AI Lab), Joonhyun Jeong (NAVER Clova), Jung-Woo Ha (NAVER CLOVA AI Lab), Hyun Oh Song (SNU). Information-Intensive Dataset Condensation. ICML 2022.
  57. 57.
    Saehyung Lee (SNU, NAVER CLOVA AI Lab), Sanghyuk Chun (NAVER CLOVA AI Lab), Sangwon Jung (SNU, NAVER CLOVA AI Lab), Sangdoo Yun (NAVER CLOVA AI Lab), Sungroh Yoon (SNU). Dataset Condensation with Contrastive Signals. ICML 2022.
  58. 58.
    Jaehoon Oh (KAIST, NAVER CLOVA AI Lab), Sungnyun Kim (KAIST), Namgyu Ho (KAIST), Jin-Hwa Kim (NAVER CLOVA AI Lab), Hwanjun Song (NAVER CLOVA AI Lab), Se-Young Yun (KAIST). Understanding Cross-Domain Few-Shot Learning: An Experimental Study. arXiv:2202.01339.
  59. 59.
    Hwanjun Song (NAVER CLOVA AI Lab), Minseok Kim (KAIST), Dongmin Park (KAIST), Yooju Shin (KAIST), Jae-Gil Lee (KAIST). Learning from Noisy Labels with Deep Neural Networks: A Survey. IEEE Trans. on NNLS. 2022.
  60. 60.
    Duhyeon Bang (SKT), Kyungjune Baek (Yonsei Univ.), Jiwoo Kim (Sungkyunkwan Univ.), Yunho Jeon (MOFL), Jin-Hwa Kim (NAVER CLOVA AI Lab), Jiwon Kim (SKT), Jongwuk Lee (Sungkyunkwan Univ.), Hyunjung Shim (Yonsei Univ.). Logit Mixing Training for More Reliable and Accurate Prediction. IJCAI 2022.
  61. 61.
    Dae Ung Jo (SNU), Sangdoo Yun (NAVER CLOVA AI Lab), Jin Young Choi (SNU). How Much A Model Be Trained By Passive Learning Before Active Learning? IEEE Access. 2022.
  62. 62.
    Sanghyuk Chun (NAVER CLOVA AI Lab), Wonjae Kim (NAVER CLOVA AI Lab), Song Park (NAVER CLOVA AI Lab), Minsuk Chang (NAVER CLOVA AI Lab), Seong Joon Oh (NAVER CLOVA AI Lab). ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO. arXiv:2204.03359.
  63. 63.
    Hwanjun Song (NAVER CLOVA AI Lab), Deqing Sun (Google), Sanghyuk Chun (NAVER CLOVA AI Lab), Varun Jampani (Google), Dongyoon Han (NAVER CLOVA AI Lab), Byeongho Heo (NAVER CLOVA AI Lab), Wonjae Kim (NAVER CLOVA AI Lab), Ming-Hsuan Yang (Google, UC Merced). An Extendable, Efficient and Effective Transformer-based Object Detector. arXiv:2204.07962.
  64. 64.
    Sruthi Viswanathan (NAVER LABS Europe), Fabien Guillot (NAVER LABS Europe), Minsuk Chang (NAVER CLOVA AI Lab), Antonietta Maria Grasso (NAVER LABS Europe), Jean-Michel Renders (NAVER LABS Europe). Addressing Hiccups in Conversations with Recommender Systems. DIS 2022.
  65. 65.
    Hwa-Yeon Kim (NAVER CLOVA), Jong-Hwan Kim (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA). Fast Bilingual Grapheme-To-Phoneme Conversion. NAACL 2022 (Industrial Session)
  66. 66.
    Hwanhee Lee (SNU), Kang Min Yoo (NAVER CLOVA AI Lab), Joonsuk Park (NAVER CLOVA AI Lab), Hwaran Lee† (NAVER CLOVA AI Lab), Kyomin Jung† (SNU). Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. Findings in NAACL 2022.
  67. 67.
    Jungsoo Park* (NAVER CLOVA), Gyuwan Kim* (UCSB, NAVER CLOVA AI Lab), Jaewoo Kang (Korea Univ.). Consistency Training with Virtual Adversarial Discrete Perturbation. NAACL 2022.
  68. 68.
    Sanghwan Bae (NAVER CLOVA), Donghyun Kwak (NAVER CLOVA), Sungdong Kim (NAVER CLOVA AI Lab), Donghoon Ham (NAVER CLOVA), Soyoung Kang (NAVER CLOVA), Sang-Woo Lee (NAVER CLOVA), Woomyoung Park (NAVER CLOVA). Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models. NAACL 2022.
  69. 69.
    Seongjin Shin* (NAVER CLOVA), Sang-Woo Lee* (NAVER CLOVA), Hwijeen Ahn (NAVER CLOVA), Sungdong Kim (NAVER CLOVA AI Lab), HyoungSeok Kim (NAVER CLOVA), Boseop Kim (NAVER CLOVA), Kyunghyun Cho (NYU), Gichang Lee (NAVER CLOVA), Woomyoung Park (NAVER CLOVA), Jung-Woo Ha (NAVER CLOVA AI Lab), Nako Sung (NAVER CLOVA). On the Effect of Pretraining Corpora on In-context Few-shot Learning by a Large-scale Language Model. NAACL 2022.
  70. 70.
    Kyungjae Lee (Yonsei Univ.), Wookje Han (SNU), Seung-won Hwang (SNU), Hwaran Lee (NAVER AI Lab), Joonsuk Park (NAVER AI Lab), Sang-Woo Lee (NAVER CLOVA). Plug-and-Play Adaptation for Continuously-updated QA. Findings in ACL 2022.
  71. 71.
    Yeon Seonwoo (KAIST), Juhee Son (KAIST), Jiho Jin (KAIST), Sang-Woo Lee (NAVER CLOVA), Ji-Hoon Kim (NAVER CLOVA), Jung-Woo Ha (NAVER AI Lab), Alice Oh (KAIST). Two-Step Question Retrieval for Open-Domain QA. Findings in ACL 2022.
  72. 72.
    Junho Kim (NAVER AI Lab) , Yunjey Choi (NAVER AI Lab), Youngjung Uh (Yonsei Univ.). Feature Statistics Mixing Regularization for Generative Adversarial Networks. CVPR 2022.
  73. 73.
    Seulki Park (SNU & NAVER AI Lab intern) , Youngkyu Hong (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jin Young Choi (SNU). The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR 2022.
  74. 74.
    Dahyun Kim (GIST & NAVER AI Lab intern), Jonghyun Choi (Yonsei Univ. & NAVER AI Lab). Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning. CVPR 2022.
  75. 75.
    Jongin Lim (SNU), Sangdoo Yun ( NAVER AI LAB ), Seulki Park (SNU & NAVER AI Lab intern) , Jin Young Choi (SNU). Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR 2022.
  76. 76.
    Beomyoung Kim (NAVER CLOVA), Youngjoon Yoo (NAVER CLOVA), Chaeun Rhee (Inha Univ.), Junmo Kim (KAIST). Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CVPR 2022.
  77. 77.
    Jungbeom Lee (SNU), Seong Joon Oh (NAVER AI Lab), Sangdoo Yun (NAVER AI LAB), Junsuk Choe (Sogang Univ.), Eunji Kim (SNU), Sungroh Yoon (SNU). Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022.
  78. 78.
    Jungin Park (Yonsei Univ.), Jiyoung Lee (NAVER AI Lab), Ig-Jae Kim (KIST), Kwanghoon Sohn (Yonsei Univ.). Probabilistic Representations for Video Contrastive Learning. CVPR 2022.
  79. 79.
    Kanghyun Choi (Yonsei Univ.),Hye Yoon Lee (Yonsei Univ.), Deokki Hong (Yonsei Univ.),Joonsang Yu (NAVER CLOVA),Noseong Park (Yonsei Univ.), Youngsok Kim (Yonsei Univ.),Jinho Lee (Yonsei Univ.). It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR 2022.
  80. 80.
    Jihwan Bang (NAVER CLOVA),Hyunseo Koh (GIST & NAVER AI Lab intern),Seulki Park (SNU & NAVER AI Lab intern),Hwanjun Song (NAVER AI Lab),Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (Yonsei U.). Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CVPR 2022.
  81. 81.
    YeongWoo Nam (GIST & NAVER AI Lab intern), Mohammad Mostafavi (Lunit), Kuk-Jin Yoon (KAIST), Jonghyun Choi (Yonsei Univ. & NAVER AI Lab). Stereo Depth from Events Cameras: Concentrate and Focus on the Future. CVPR 2022.
  82. 82.
    Sangwon Jung (SNU & NAVER AI Lab intern), Sanghyuk Chun (NAVER AI Lab), Taesup Moon (SNU). Learning Fair Classifiers with Partially Annotated Group Labels. CVPR 2022.
  83. 83.
    Jisoo Mok (SNU & NAVER AI Lab intern), Byunggook Na (SNU), Ji-Hoon Kim (NAVER CLOVA), Dongyoon Han (NAVER AI Lab), Sungroh Yoon (SNU). Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?. CVPR 2022.
  84. 84.
    Jin Kim(Yonsei Univ.), Jiyoung Lee (NAVER AI Lab), JungIn Park (Yonsei Univ.), Dongbo Min (Ewha Univ.), Kwanghoon Sohn (Yonsei Univ.). Pin the Memory: Learning to Generalize Semantic Segmentation. CVPR 2022.
  85. 85.
    Jun-Hyuk Kim (Yonsei Univ. & NAVER AI Lab intern), Byeongho Heo (NAVER AI Lab), Jong-Seok Lee (Yonsei Univ.). Joint Global and Local Hierarchical Priors for Learned Image Compression. CVPR 2022.
  86. 86.
    Sungdong Kim (NAVER AI Lab), Gangwoo Kim (Korea Univ.). Saving Dense Retriever from Shortcut Dependency in Conversational Search. arxiv:2202.07280. 2022.
  87. 87.
    Somi Jeong (NAVER LABS), Jiyoung Lee (NAVER AI Lab), Kwanghoon Sohn (Yonsei University). Multi-Domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution. ICASSP 2022.
  88. 88.
    Seunghyun Seo (NAVER CLOVA), Donghyun Kwak (NAVER CLOVA), Bowon Lee (Inha U.). Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding. ICASSP 2022.
  89. 89.
    Namkyu Jung (NAVER CLOVA), Geonmin Kim (NAVER CLOVA), Joon Son Chung (KAIST). Spell My Name: Keyword Boosted Speech Recognition. ICASSP 2022.
  90. 90.
    Hye-jin Shim (U. of Seoul), Jee-weon Jung (NAVER CLOVA), Ju-ho Kim (U. of Seoul), Ha-Jin Yu (U. of Seoul). Attentive Max Feature Map and Joint Training for Acoustic Scene Classification. ICASSP 2022.
  91. 91.
    Jee-weon Jung (NAVER CLOVA), Hee-Soo Heo (NAVER CLOVA), Hemlata Tak (EURECOM), Hye-jin Shim (U. of Seoul), Joon Son Chung (KAIST), Bong-Jin Lee (NAVER CLOVA), Ha-Jin Yu (U. of Seoul), Nicholas Evans (EURECOM). AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks. ICASSP 2022.
  92. 92.
    Youngki Kwon (NAVER CLOVA), Hee-Soo Heo (NAVER CLOVA), Jee-weon Jung (NAVER CLOVA), You Jin Kim(NAVER CLOVA), Bong-Jin Lee(NAVER CLOVA), Joon Son Chung (KAIST). Multi-Scale Speaker Embedding-based Graph Attention Networks for Speaker Diarisation. ICASSP 2022.
  93. 93.
    Doyeon Kim (Yonsei U.), Hyewon Han (Yonsei U.), Hyeon-Kyeong Shin (Yonsei U., NAVER CLOVA), Soo-Whan Chung (NAVER CLOVA), Hong-Goo Kang (Yonsei U.). Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement. ICASSP 2022.
  94. 94.
    Yunji Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab). Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. ICLR 2022.
  95. 95.
    Sihyun Yu (KAIST), Jihoon Tack (KAIST), Sangwoo Mo (KAIST), Hyunsu Kim (NAVER AI Lab), Junho Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jinwoo Shin (KAIST). Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR 2022.
  96. 96.
    Hyunseo Koh (GIST, NAVER AI Lab), Dahyun Kim (GIST, NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (GIST, NAVER AI Lab). Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. ICLR 2022.
  97. 97.
    Baesung Park*(NAVER CLOVA), Sejung Kwon*(NAVER CLOVA), Daehwan Oh (Samgsung Research), Byeongwook Kim (NAVER CLOVA), Dongsoo Lee (NAVER CLOVA). Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression. ICLR 2022.
  98. 98.
    Jun Yamada (U. of Oxford), Karl Pertsch (USC), Anisha Gunjal (USC), Joseph J Lim(KAIST, USC, NAVER AI Lab). Task-Induced Representation Learning. ICLR 2022.
  99. 99.
    Taewook Nam (KAIST), Shao-Hua Sun (USC), Karl Pertsch (USC), Sung Ju Hwang (KAIST), Joseph J Lim(KAIST, USC, NAVER AI Lab). Skill-based Meta-Reinforcement Learning. ICLR 2022.
  100. 100.
    Ayush Jain*(USC), Norio Kosaka*(NAVER CLOVA), Kyung-Min Kim(NAVER CLOVA), Joseph J Lim(KAIST, USC, NAVER AI Lab). Know Your Action Set: Learning Action Relations for Reinforcement Learning. ICLR 2022.
  101. 101.
    Luca Scimeca (NAVER AI Lab), Seong Joon Oh (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Michael Poli (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab). Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR 2022.
  102. 102.
    Yooju Shin (KAIST), Susik Yoon (UIUC), Sundong Kim (IBS), Hwanjun Song (NAVER AI Lab), Jae-Gil Lee (KAIST), Byung Suk Lee (Univ. of Vermont). Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR 2022.
  103. 103.
    Hwanjun Song (NAVER AI Lab), Deqing Sun (Google Research), Sanghyuk Chun (NAVER AI Lab), Varun Jampani (Google Research), Dongyoon Han (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Wonjae Kim (NAVER AI Lab), Ming-Hsuan Yang (Google Research, UC Merced). ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022.
  104. 104.
    Hyeonmin Ha (SNU), Ji-Hoon Kim(NAVER CLOVA), Semin Park (Google), Byung-Gon Chun (SNU). SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. ICLR 2022.
  105. 105.
    Dongyoon Han (NAVER AI Lab), YoungJoon Yoo (NAVER CLOVA), Beomyoung Kim (NAVER CLOVA), Byeongho Heo (NAVER AI Lab). Learning Features with Parameter-Free Layers. ICLR 2022.
  106. 106.
    Namuk Park (Yonsei Univ. & NAVER CLOVA AI Lab) Songkuk Kim (Yonsei Univ.). How Do Vision Transformers Work? ICLR 2022.
  107. 107.
    John Joon Young Chung (NAVER AI Lab), Wooseok Kim, Kang Min Yoo (NAVER AI Lab), Hwaran Lee (NAVER AI Lab), Eytan Adar (Univ. of Michigan), Minsuk Chang (NAVER AI Lab). TaleBrush: Sketching Stories with Generative Pretrained Language Models. CHI 2022.
  108. 108.
    Hee-Seung Moon (NAVER AI Lab), Seungwon Do (ETRI), Wonjae Kim (NAVER AI Lab), Jiwon Seo (Yonsei Univ.), Minsuk Chang (NAVER AI Lab), Byoungjoo Lee (Yonsei Univ.). Speeding Up Inference with User Simulators through Policy Modulation. CHI 2022.
  109. 109.
    SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction Data. IUI 2022.
  110. 110.
    Beomyoung Kim, Janghyeon Lee (KAIST), Sihaeng Lee (KAIST), Doyeon Kim (KAIST), Junmo Kim (KAIST). TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV 2022.
  111. 111.
    Minseok Kim (KAIST), Hwanjun Song (NAVER AI Lab), Yooju Shin (KAIST), Dongmin Park (KAIST), Kijung Shin (KAIST), Jae-Gil Lee (KAIST). Meta-Learning for Online Update of Recommender Systems. AAAI 2022.
  112. 112.
    Doyoung Kim (KAIST, NAVER AI Lab Intern), Hyangsuk Min (KAIST), Youngeun Nam (KAIST), Hwanjun Song (NAVER AI Lab), Susik Yoon (KAIST), Minseok Kim (KAIST), Jae-Gil Lee (KAIST). COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI 2022.
  113. 113.
    Hazel Kim (Yonsei Uni, NAVER AI Lab intern), Daecheol Woo (Yonsei Uni)v, Seong Joon Oh (NAVER AI Lab), Jeong-Won Cha (Changwon National Univ), Yo-Sub Han (Yonsei Univ). ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification. AAAI 2022.
  114. 114.
    Teakgyu Hong (NAVER CLOVA), Donghyun Kim (NAVER CLOVA), Mingi Ji (KAIST, NAVER CLOVA intern), Wonseok Hwang (LBox), Daehyun Nam (Upstage), Sungrae Park (Upstage). BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. AAAI 2022.
​

2021

  1. 1.
    Yunji Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab). Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. arXiv:2112.14971. 2021.
  2. 2.
    Seulki Park (NAVER AI Lab intern), Youngkyu Hong (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jin Young Choi (SNU). The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. arXiv preprint arXiv:2112.00412.
  3. 3.
    Junho Kim (NAVER AI Lab), Yunjey Choi (NAVER AI Lab), Youngjung Uh (Yonsei Univ.). Feature Statistics Mixing Regularization for Generative Adversarial Networks. arXiv:2112.04120. 2021.
  4. 4.
    Geewook Kim (NAVER CLOVA), Teakgyu Hong (NAVER CLOVA), Moonbin Yim (NAVER CLOVA), Jinyoung Park (NAVER CLOVA), Jinyeong Yim (NAVER CLOVA), Wonseok Hwang (LBox), Sangdoo Yun (NAVER AI Lab) , Dongyoon Han (NAVER AI Lab), Seunghyun Park (NAVER CLOVA). Donut: Document Understanding Transformer without OCR. arXiv:2111.15664. 2021.
  5. 5.
    Sangwon Jung, Sanghyuk Chun, Taesup Moon. Learning Fair Classifiers with Partially Annotated Group Labels. arXiv preprint arXiv:2111.14581. 2021.
  6. 6.
    Jaemin Na (Ajou Univ.), Dongyoon Han (NAVER AI Lab), Hyung Jin Chang (Univ. of Birmingham), Wonjun Hwang (Ajou Univ.). Contrastive Vicinal Space for Unsupervised Domain Adaptation. arXiv:2111.13353. 2021.
  7. 7.
    Hwanjun Song (NAVER AI Lab), Eunyoung Kim (Google Research), Varun Jampani (Google Research), Deqing Sun (Google Research), Jae-Gil Lee (KAIST), Ming-Hsuan Yang (Google Research). Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC 2021.
  8. 8.
    Jiyoung Lee, Wonjae Kim , Daehoon Gwak, Edward Choi (KAIST). Conditional Generation of Periodic Signals with Fourier-Based Decoder. NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications. 2021.
  9. 9.
    Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi. Observations on K-image Expansion of Image-Mixing Augmentation for Classification. arXiv preprint arXiv:2110.04248. 2021.
  10. 10.
    Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi. Progressive Transmission and Inference of Deep Learning Models. arXiv preprint arXiv:2110.00916. 2021.
  11. 11.
    Hyunseo Koh (NAVER AI Lab intern), Dahyun Kim (NAVER AI Lab intern), Jung-Woo Ha (NAVER CLOVA, NAVER AI Lab), Jonghyun Choi (GIST) Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. arXiv 2021.
  12. 12.
    Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon (Pusan National University). Graphs, Entities, and Step Mixture for Enriching Graph Representation. IEEE Access. 2021.
  13. 13.
    Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun. Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. arXiv 2021.
  14. 14.
    Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang. ViDT: An Efficient and Effective Fully Transformer-based Object Detector. arXiv 2021.
  15. 15.
    Yosuke Higuchi (Waseda University), Nanxin Chen (JHU), Yuya Fujita (Yahoo Japan), Hirofumi Inaguma (Kyoto Univ.), Tatsuya Komatsu (LINE), Jaesong Lee, Jumon Nozaki (LINE), Tianzi Wang (JHU), Shinji Watanabe (CMU). A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation. ASRU 2021.
  16. 16.
    Junho Cho (SNU), Sangdoo Yun (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Jin Young Choi (SNU). Detecting and Removing Text in the Wild. IEEE Access 9. 2021.
  17. 17.
    Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho. KLUE: Korean Language Understanding Evaluation. Dataset and Benchmark Track in NeurIPS 2021.
  18. 18.
    Michael Poli*, Stefano Massaroli* (Univ. of Tokyo), Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita (Univ. of Tokyo), Hajime Asama (Univ. of Tokyo), Jinkyoo Park (KAIST), Animesh Garg (Vector Institute, NVidia). Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. NeurIPS 2021.
  19. 19.
    Junbum Cha, Sanghyuk Chun, Kyungjae Lee (Chungang Univ.), Han-Cheol Cho, Seunghyun Park, Yunsung Lee (Korea Univ.), Sungrae Park (UPSTAGE). SWAD: Domain Generalization by Seeking Flat Minima. NeurIPS 2021.
  20. 20.
    Hyeonjin Park (Korea Univ.), Seunghun Lee (Korea Univ.), Sihyeon Kim (Korea Univ.), Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim (Korea Univ.). Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS 2021.
  21. 21.
    Dongmin Park (KAIST), Hwanjun Song, MinSeok Kim (KAIST), Jae-Gil Lee (KAIST) Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS 2021.
  22. 22.
    Jinhee Lee (KAIST)*, Haeri Kim (KAIST)*, Youngkyu Hong* , Hye Won Chung (KAIST) Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Network. NeurIPS 2021.
  23. 23.
    Youngkyu Hong, Eunho Yang (KAIST). Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning. NeurIPS 2021.
  24. 24.
    Sungmin Cha*, Beomyoung Kim*, Youngjoon Yoo, Taesup Moon (SNU). SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS 2021.
  25. 25.
    Hiun Kim, Jisu Jeong, Kyung-Min Kim, Dongjun Lee (LBox), Hyun Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, Rak Yeong Kim. Intent-based Product Collections for E-commerce using Pretrained Language Models. IEEE International Workshop on Data Mining for Service (DMS2021).
  26. 26.
    Hyeonjin Park (Korea Univ.), Seunghun Lee (Korea Univ.), Dasol Hwang (Korea Univ.), Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo Kim (Korea Univ.). Learning Augmentation for GNNs with Consistency Regularization. IEEE Access. 2021.
  27. 27.
    Hwiyeol Jo, Dongyeop Kang (Univ. of Minnesota), Andrew Head (Univ. of Pennsylvania), Marti A. Hearst (Univ. of California, Berkeley). Understanding Mathematical Notation Semantics in Scientific Papers. EMNLP 2021 (Findings).
  28. 28.
    Hwiyeol Jo, Jaeseo Lim (SNU), Byoung-Tak Zhang (SNU). Devil’s Advocate: Novel Boosting Ensemble Method for Text Classification. Findings in EMNLP 2021
  29. 29.
    Gi-Cheon Kang (SNU), Junseok Park (SNU), Hwaran Lee, Byoung-Tak Zhang(SNU), Jin-Hwa Kim. Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. Finings in EMNLP 2021.
  30. 30.
    Mujeen Sung (Korea Univ.), Jinhyuk Lee (Princeton Univ.), Sean Yi (Korea Univ.), Minji Jeon (Icahn School of Medicine at Mount Sinai), Sungdong Kim and Jaewoo Kang (Korea Univ.). Can Language Models be Biomedical Knowledge Bases? EMNLP 2021.
  31. 31.
    Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim, Minjoon Seo (KAIST). Cost-effective End-to-end Information Extraction for Semi-structured Document Images. EMNLP 2021.
  32. 32.
    Boseop Kim*, HyoungSeok Kim* , Sang-Woo Lee*, Gichang Lee, Donghyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, Suk Hyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woomyoung Park, Nako Sung. What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. EMNLP 2021.
  33. 33.
    Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woomyeong Park. GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. Findings in EMNLP 2021.
  34. 34.
    Sanghyuk Chun, Song Park. StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. arXiv 2021.
  35. 35.
    Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim. Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans on PAMI 2021.
  36. 36.
    Moonbin Yim (NAVER CLOVA), Yoonsik Kim (NAVER CLOVA), Han-Cheol Cho (NAVER CLOVA), Sungrae Park (UPSTAGE). SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. ICDAR 2021.
  37. 37.
    Hwaran Lee, Seokhwan Jo (SKT), HyungJun Kim (SKT) , Sangkeun Jung (Chungnam Univ.), Tae-Yoon Kim (SKT). SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System. IEEE Access. 2021.
  38. 38.
    Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, Hanock Kwak. Global-Local Item Embedding for Temporal Set Prediction. RecSys 2021 (LBR).
  39. 39.
    Eunwoo Song, Ryuichi Yamamoto, Min-Jae Hwang, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim. Improved parallel WaveGAN vocoder with perceptually weighted spectrogram loss. SLT 2021.
  40. 40.
    Byungsoo Ko, Geonmo Gu, Han-Gyu Kim. Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV 2021.
  41. 41.
    Daehee Kim (Kookmin U.), Seunghyun Park, Jinkyu Kim (Korea U.), Jaekoo Lee (Kookmin U.). SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. ICCV 2021.
  42. 42.
    Jeesoo Kim (SNU), Junsuk Choe, Sangdoo Yun, Nojun Kwak (SNU). Normalization Matters in Weakly Supervised Object Localization. ICCV 2021.
  43. 43.
    Minsong Ki (Yonsei U.), Youngjung Uh (Yonsei U.), Junsuk Choe, Hyeran Byun (Yonsei U.). Contrastive Attention Maps for Self-supervised Co-localization. ICCV 2021.
  44. 44.
    Kyungjune Baek, Yunjey Choi, Youngjung Uh (Yonsei U.), Jaejun Yoo (EPFL), Hyunjung Shim (Yonsei U.). Rethinking the Truly Unsupervised Image-to-Image Translation. ICCV 2021.
  45. 45.
    Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim (Yonsei U.). Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. ICCV 2021.
  46. 46.
    Jae Myung Kim*, Junsuk Choe*, Zeynep Akata (U of Tuebingen), Seong Joon Oh. Keep CALM and Improve Visual Feature Attribution. ICCV 2021.
  47. 47.
    Byeongho Heo, Sangdoo Yun, Dongyoon Han , Sanghyuk Chun , Junsuk Choe, Seong Joon Oh. Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021.
  48. 48.
    Grace Zhang (USC), Linghan Zhong (USC), Youngwoon Lee, Joseph Lim. Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. RSS 2021.
  49. 49.
    Hwanjun Song, Minseok Kim (KAIST), Dongmin Park (KAIST), Yooju Shin (KAIST), Jae-Gil Lee (KAIST). Robust Learning by Self-Transition for Handling Noisy Labels. KDD 2021.
  50. 50.
    Il-Jae Kwon, Kyuyong Shin, Jisu Jeong, Kyung-Min Kim, Byoung-Tak Zhang and Young-Jin Park. AdamDGN: Adaptive Memory using Dynamic Graph Networks for Staleness Problem in Recommender System. OARS-KDD2021 (Long contributed talk)
  51. 51.
    Kyungho Kim, Kyungjae Lee, Seung-won Hwang, Young-In Song, Seungwook Lee, Query Generation for Multimodal Documents, EACL 2021 (Long)
  52. 52.
    Jihyuk Kim, Young-In Song and Seung-won Hwang, Web Document Encoding for Structure-Aware Keyphrase Extraction, SIGIR 2021 (short)
  53. 53.
    Hidetaka Kamigaito, Jingun Kwon, Young-In Song and Manabu Okumura, A New Surprise Measure for Extracting Interesting Relationships between Persons, EACL 2021 (Demonstration track)
  54. 54.
    Jaesong Lee, Jingu Kang, Shinji Watanabe (CMU). Layer Pruning on Demand with Intermediate CTC. Interspeech 2021.
  55. 55.
    Youngki Kwon, Jee-weon Jung, Hee-Soo Heo, You Jin Kim, Bong-Jin Lee, Joon Son Chung. Adapting Speaker Embeddings for Speaker Diarisation. Interspeech 2021.
  56. 56.
    Huu-Kim Nguyen (Yonsei Univ.), Kihyuk Jeong (Yonsei Univ.), Seyun Um (Yonsei Univ.), Min-Jae Hwang, Eunwoo Song, Hong-Goo Kang (Yonsei Univ.). LiteTTS: A Decoder-free Lightweight Text-to-wave Synthesis Based on Generative Adversarial Networks. Interspeech 2021.
  57. 57.
    Eunbi Choi, Hwayeon Kim, Jonghwan Kim, Jae-Min Kim. Label Embedding for Chinese Grapheme-to-Phoneme Conversion. Interspeech 2021.
  58. 58.
    Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. High-fidelity Parallel WaveGAN with Multi-band Harmonic-plus-Noise Model. Interspeech 2021.
  59. 59.
    Hemlata Tak (EURECOM), Jee-weon Jung, Jose Patino (EURECOM), Massimiliano Todisco (EURECOM) and Nicholas Evans (EURECOM). Graph Attention Networks for Anti-Spoofing. Interspeech 2021.
  60. 60.
    Jee-weon Jung, Hee-Soo Heo, Youngki Kwon, Joon Son Chung, Bong-Jin Lee. Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network. Interspeech 2021.
  61. 61.
    Lukas Lee, Youna Ji, Minjae Lee, Min-Seok Choi. DEMUCS-Mobile : On-device lightweight speech enhancemen. Interspeech 2021.
  62. 62.
    You Jin Kim, Hee-Soo Heo, So Yeon Choe, Soo-Whan Chung, Yoohwan Kwon, Bong-Jin Lee, Youngki Kwon, Joon Son Chung. Look Who’s Talking: Active Speaker Detection in the Wild. Interspeech 2021.
  63. 63.
    Raphael Shu, Kang Min Yoo, Jung-Woo Ha. Reward Optimization for Neural Machine Translation with Learned Metrics. arXiv. 2021. Github
  64. 64.
    Seunghyun Seo, Donghyun Kwak, Bowon Lee (Inha Univ.). Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding. arXiv. 2021
  65. 65.
    Yeon Seonwoo (KAIST), Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh (KAIST). Weakly Supervised Pre-Training for Multi-Hop Retriever. Findings in ACL 2021.
  66. 66.
    Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang (KAIST), Minjoon Seo (KAIST). Spatial Dependency Parsing for Semi-Structured Document Information Extraction. Findings in ACL 2021.
  67. 67.
    Soyoung Yoon, Gyuwan Kim, Gyumin Park (KAIST). SSMix: Saliency-based Span Mixup for Text Classification. Findings in ACL 2021.
  68. 68.
    Taeuk Kim, Kang Min Yoo, Sang-goo Lee (SNU). Self-Guided Contrastive Learning for BERT Sentence Representations. ACL 2021.
  69. 69.
    Sungdong Kim, Minsuk Chang, Sang-Woo Lee. NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation. ACL 2021.
  70. 70.
    Gyuwan Kim, Kyunghyun Cho (NYU). Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search. ACL 2021.
  71. 71.
    Sohee Yang, Minjoon Seo. Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering. NAACL 2021.
  72. 72.
    Seongbin Kim*, Gyuwan Kim*, Seongjin Shin, Sangmin Lee (Inha Univ). Two-stage Textual Knowledge Distillation to Speech Encoder for Spoken Language Understanding. ICASSP 2021.
  73. 73.
    Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha. ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding. ICASSP 2021.
  74. 74.
    Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, and Jae-Min Kim. TTS-by-TTS: TTS-driven Data Augmentation for Fast and High-Quality Speech Synthesis. ICASSP 2021.
  75. 75.
    Ryuichi Yamamoto, Eunwoo Song , Min-Jae Hwang, Jae-Min Kim. Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators. ICASSP 2021.
  76. 76.
    Hwayeon Kim, Jonghwan Kim, Jae Min Kim. NN-KOG2P: A Novel Grapheme-Phoneme model for Korean language. ICASSP 2021.
  77. 77.
    Yoohwan Kwon, Hee-Soo Heo, Bong-Jin Lee, Joon Son Chung. The ins and outs of speaker recognition: lessons from VoxSRC 2020. ICASSP 2021.
  78. 78.
    Andrew Brown (U. of Oxford), Jaesung Huh (U. of Oxford), Arsha Nagrani (U. of Oxford), Joon Son Chung, Andrew Zisserman (U. of Oxford). Playing a Part: Speaker Verification at the Movies. ICASSP 2021.
  79. 79.
    Jee-weon Jung, Hee-Soo Heo, Ha-Jin Yu(UOS), Joon Son Chung. Graph Attention Networks for Speaker Verification. ICASSP 2021.
  80. 80.
    Jaesong Lee, Shinji Watanabe (CMU). Intermediate Loss Regularization for CTC-based Speech Recognition. ICASSP 2021.
  81. 81.
    Wonjae Kim, Bokyung Son (Kakao Enterprise), Ildoo Kim (Kakaobrain), ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision. ICML 2021.
  82. 82.
    Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo. Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021. Github
  83. 83.
    Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo (Seoul National University), Youngjung Uh (Yonsei University). Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing. CVPR 2021. Github
  84. 84.
    Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus. Probabilistic Embeddings for Cross-Modal Retrieval. CVPR 2021.
  85. 85.
    Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun. Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CVPR 2021. Github
  86. 86.
    Jiyoung Lee (Yonsei), Soo-Whan Chung, Sunok Kim(Yonsei, Korea Aerospace), Hong-Goo Kang(Yonsei), Kwanghoon Sohn(Yonsei). Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation. CVPR 2021.
  87. 87.
    Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi (GIST). Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CVPR 2021. Github
  88. 88.
    Jungsoo Park, Gyuwan Kim, Jaewoo Kang (Korea U.). Consistency Training with Virtual Adversarial Discrete Perturbation. arXiv. 2021
  89. 89.
    Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Jongwon Choi (Chung-Ang Univ.). Bayesian Perspective on Visual Data Augmentation for Efficient Utilization of Sub-sampled Data. Synthetic Data Generation [email protected] 2021.
  90. 90.
    Kyung-Wha Park (SNU), Jung-Woo Ha, JungHoon Lee (Soongsil Univ.), Sunyoung Kwon (Pusan Univ.), Kyung-Min Kim, Byoung-Tak Zhang (SNU). M2FN: Multi-step modality fusion for advertisement image assessment. Applied Soft Computing. 2021
  91. 91.
    Anna Offenwanger (U of British Columbia), Alan John Milligan (University of British Columbia), Minsuk Chang (Naver AI Lab & KAIST), Julia Bullard (U of British Columbia), Dongwook Yoon (U of British Columbia). Diagnosing Bias in the Gender Representation of HCI Research Participants: How it Happens and Where We Are?. CHI 2021
  92. 92.
    Minsuk Chang (Naver AI Lab & KAIST), Mina Huh (KAIST), Juho Kim (KAIST). RubySlippers: Supporting Content-based Voice Navigation for How-to Videos. CHI 2021.
  93. 93.
    Yoonjoo Lee (KAIST), John Joon Young Chung(U of Michigan), Jean Y Song (KAIST), Minsuk Chang (Naver AI Lab & KAIST), Juho Kim (KAIST). Personalizing Ambience and Illusionary Presence: How People Use “Study with Me” Videos to Create Effective Studying Environments. CHI 2021.
  94. 94.
    Seungwon Do (ETRI), Minsuk Chang (Naver AI Lab & KAIST), Byungjoo Lee (KAIST). A Simulation Model of Intermittently Controlled Point-and-Click Behavior. CHI 2021.
  95. 95.
    Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha. AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021.
  96. 96.
    Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak. Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. AAAI 2021.
  97. 97.
    Geonmo Gu, Byungsoo Ko, Han-Gyu Kim. Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI 2021.
  98. 98.
    Beomyoung Kim, Sangeun Han (KAIST), Junmo Kim (KAIST). Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI 2021.
  99. 99.
    Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim (Yonsei Univ.). Few-shot Font Generation with Localized Style Representations and Factorization. AAAI 2021.
  100. 100.
    Mingi Ji, Byeongho Heo, Sungrae Park. Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. AAAI 2021.
  101. 101.
    Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha. DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI 2021.
​

2020

  1. 1.
    Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha. Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. CUI 2020.
  2. 2.
    Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park. A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting. PMLR (in press), [email protected] 2020.
  3. 3.
    Dasol Hwang (Korea Univ), Jinyoung Park (Korea Univ), Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim (Korea Univ). Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS 2020.
  4. 4.
    Hojae Han, Seung-won Hwang, Young-In Song, and Siyeon Kim, "Training Data Optimization for Pairwise Learning to Rank", ICTIR 2020
  5. 5.
    Jae-woong Lee, Young-In Song, Deokmin Haam, Sanghoon Lee, Woo-sik Choi, and Jongwuk Lee, "Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision", CIKM 2020
  6. 6.
    Jingun Kwon, Hidetaka Kamigaito, Young-In Song, and Manabu Okumura, Hierarchical Trivia Fact Extraction from Wikipedia Articles, COLING 2020.
  7. 7.
    Sungrae Park, Geewook Kim, Junyeop Lee, Junbum Cha, Ji-Hoon Kim, Hwalsuk Lee. Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. COLING 2020.
  8. 8.
    J. J. Whang, Y. Jung, S. Kang, D. Yoo, and I. S. Dhillon, , Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection, Companion Proceedings of the Web Conference (WWW) Workshop on CyberSafety: Computational Methods in Online Misbehavior, 2020.
  9. 9.
    Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, Junki Cho. div2vec: Diversity-Emphasized Node Embedding. Workshop on the Impact of Recommender Systems, RecSys 2020.
  10. 10.
    Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, Sunyoung Kwon. Multi-Manifold Learning for Large-scale Targeted Advertising System. [email protected] 2020.
  11. 11.
    Young-Jin Park, Kyuyong Shin, Kyung-Min Kim. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments. [email protected] 2020.
  12. 12.
    Gyuwan Kim, Tae-Hwan Jung. Large Product Key Memory for Pretrained Language Models. Findings in EMNLP 2020.
  13. 13.
    Kang Min Yoo, Hanbit Lee (Seoul National University), Franck Dernoncourt (Adobe), Trung Bui (Adobe), Walter Chang (Adobe), Sang-goo Lee (Seoul National University). Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation. EMNLP 2020.
  14. 14.
    Yeon Seonwoo (KAIST), Ji-Hoon Kim, Jung-Woo Ha, Alice Oh (KAIST). Context-Aware Answer Extraction in Question Answering. EMNLP 2020.
  15. 15.
    Jisung Wang, Jihwan Kim (VUNO), Sangki Kim (VUNO), Yeha Lee (VUNO). Exploring Lexicon-Free Modeling Units for End-to-End Korean and Korean-English Code-Switching Speech Recognition. Interspeech 2020.
  16. 16.
    Teakgyu Hong, Oh-Woog Kwon(ETRI) Institute), Young-Kil Kim (ETRI). End-to-End Task-oriented Dialog System through Template Slot Value Generation. Interspeech 2020.
  17. 17.
    Won Ik Cho(Seoul National University), Donghyun Kwak, Jiwon Yoon (Seoul National University), Nam Soo Kim (Seoul National University). Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation. Interspeech 2020.
  18. 18.
    Eunwoo Song, Min-Jae Hwang, Ryuichi Yamamoto, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim. Neural Text-to-Speech with a Modeling-by-Generation Excitation Vocoder. Interspeech 2020.
  19. 19.
    Triantafyllos Afouras (University of Oxford), Joon Son Chung, Andrew Zisserman(University of Oxford). Now you're speaking my language: Visual language identification. Interspeech 2020.
  20. 20.
    Soo-Whan Chung, Hong-Goo Kang (Yonsei University) , Joon Son Chung. Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision. Interspeech 2020.
  21. 21.
    Joon Son Chung, Jaesung Huh, Arsha Nagrani (University of Oxford), Triantafyllos Afouras (University of Oxford), Andrew Zisserman(University of Oxford). Spot the conversation: speaker diarisation in the wild. Interspeech 2020.
  22. 22.
    Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang (Yonsei University). FaceFilter: Audio-visual speech separation using still images. Interspeech 2020.
  23. 23.
    Hye-jin Shim(University of Seoul), Hee-Soo Heo, Jee-weon Jung(University of Seoul), Ha-Jin Yu(University of Seoul). Self-supervised Pre-training with Acoustic Configurations for Replay Spoofing Detection. Interspeech 2020.
  24. 24.
    Jung-Woo Ha*, Kihyun Nam*, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim. ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. Interspeech 2020.
  25. 25.
    Joon Son Chung, Jaesung Huh, Seongkyu Mun, Minjae Lee, Hee Soo Heo, Soyeon Choe, Chiheon Ham, Sunghwan Jung, Bong-Jin Lee, Icksang Han. In defence of metric learning for speaker recognition. Interspeech 2020.
  26. 26.
    Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko, Sunyoung Kim, Hyewon Kim, Kyoungtae Doh, Hyunjung Park, Joseph Yeo, Sang-Houn Ok, Joonhaeng Lee, Sungsoon Lim, Minyoung Jeong, Seongjae Choi, SeungTae Hwang, Eun-Young Park (Seongnam city), Gwang-Ja Ma (Seongnam city), Seok-Joo Han (Seongnam city), Kwang-Seung Cha (Seongnam city), Nako Sung, Jung-Woo Ha. CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic. ArXiv. 2020.
  27. 27.
    Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha. Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. ArXiv. 2020.
  28. 28.
    Sungdong Kim, Sohee Yang, Gyuwan Kim, Sang-Woo Lee. Efficient Dialogue State Tracking by Selectively Overwriting Memory. ACL 2020.
  29. 29.
    Jinhyuk Lee, Minjoon Seo, Hanna Hajishirzi (Univ. of Washington), Jaewoo Kang (Korea Univ.). Contextualized Sparse Representations for Real-Time Open-Domain Question Answering. ACL 2020.
  30. 30.
    Minz Won (Univ. of Pompeu Fabra), Sanghyuk Chun, Oriol Nieto (Pandora), Xavier Serra (Univ. of Pompeu Fabra). Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP 2020.
  31. 31.
    Seongkyu Mun, Soyeon Choe, Jaesung Huh, Joon Son Chung. The Sound of My Voice: Speaker Representation Loss for Target Voice Separation. ICASSP 2020.
  32. 32.
    Arsha Nagrani* (Univ. of Oxford), Joon Son Chung*, Samuel Albanie (Univ. of Oxford), Andrew Zisserman (Univ. of Oxford). Disentangled Speech Embeddings Using Cross-modal Self-supervision. ICASSP 2020.
  33. 33.
    Triantafyllos Afouras (Univ. of Oxford), Joon Son Chung, Andrew Zisserman (Univ. of Oxford). ASR is All You Need: Cross-modal Distillation for Lip Reading. ICASSP 2020.
  34. 34.
    Hsuan-I Ho, Minho Shim, Dongyoon Wee. Learning From Dances : Pose-invariant Re-identification for Multi-person Tracking. ICASSP 2020.
  35. 35.
    Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. Parallel WaveGAN: A Fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram. ICASSP 2020.
  36. 36.
    Min-Jae Hwang, Eunwoo Song, Ryuichi Yamamoto, Frank Soong (MSRA), Hong-Goo Kang (Yonsei Univ). Improving LPCNet-based text-to-speech with linear prediction-structured mixture density network. ICASSP 2020.
  37. 37.
    Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon. Graphs, Entities, and Step Mixture. GRL+ [email protected] 2020.
  38. 38.
    Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon. Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. ArXiv. 2020
  39. 39.
    Taehoon Kim, Youngjoon Yoo, Jihoon Yang. StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. ArXiv. 2020
  40. 40.
    Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo. Reliable Fidelity and Diversity Metrics for Generative Models. ICML 2020.
  41. 41.
    Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo (Korea Univ.), Seong Joon Oh. Learning De-biased Representations with Biased Representations. ICML 2020.
  42. 42.
    Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim. VideoMix: Rethinking Data Augmentation for Video Classification. ArXiv. 2020
  43. 43.
    Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. Rethinking the Truly Unsupervised Image-to-Image Translation. ArXiv. 2020
  44. 44.
    Jungkyu Lee, Taeryun Won, Kiho Hong. Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network. arXiv. 2020
  45. 45.
    Samuel Albanie, Gul Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman. BSL-1K: Scaling up co-articulated sign recognition using mouthing cues. ECCV 2020.
  46. 46.
    Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman. Self-supervised learning of audio-visual objects from video. ECCV 2020.
  47. 47.
    Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee. Few-shot Compositional Font Generation with Dual Memory. ECCV 2020.
  48. 48.
    Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, JunyeopLee, Daehyun Nam, Hwalsuk Lee. Character Region Attention For Text Spotting. ECCV 2020.
  49. 49.
    Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee. ReAD: Reciprocal Attention Discriminator for Image-to-Video Re-Identification. ECCV 2020.
  50. 50.
    Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata (Univ. of Tuebingen), Hyunjung Shim (Yonsei Univ.), Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. arXiv. 2020.
  51. 51.
    Byungsoo Ko*, Geonmo Gu*. Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CVPR 2020.
  52. 52.
    Jinhyung Kim, Dongyoon Wee, Soonmin Bae, Junmo Kim. Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. CVPR 2020.
  53. 53.
    Jaejun Yoo*, Namhyuk Ahn, Kyung-Ah Sohn. Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. CVPR 2020.
  54. 54.
    Junsuk Choe*, Seong Joon Oh*, Seungho Lee (Yonsei Univ.), Sanghyuk Chun, Zeynep Akata (Univ. of Tubingen), Hyunjung Shim (Yonsei Univ.). Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020.
  55. 55.
    Yunjey Choi*, Youngjung Uh*, Jaejun Yoo*, Jung-Woo Ha. StarGAN v2: Diverse Image Synthesis for Multiple Domains. CVPR 2020.
  56. 56.
    Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae. Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. WACV 2020.
  57. 57.
    Hyojin Park, Lars Lowe Sjösund, YoungJoon Yoo, Nicolas Monet (NAVER LABS Europe), Jihwan Bang, Nojun Kwak (Seoul National Univ.). SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. WACV 2020.
  58. 58.
    Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwang Hee Lee. U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. ICLR 2020.
  59. 59.
    Geonmo Gu, Byung Soo Ko. Symmetrical synthesis for deep metric learning. AAAI 2020.
  60. 60.
    Pilhyeon Lee (Yonsei Univ.), Youngjung Uh, Heyran Byun (Yonsei Univ.). Background Suppression Networks for Weakly-supervised Temporal Action Localization. AAAI 2020.
​

2019

Minz Won, Sanghyuk Chun, Xavier Serra. Toward Interpretable Music Tagging with Self-Attention. arXiv. 2019
Xiaodong Gu, Hongyu Zhang (Univ. of Newcastle), Sunghun Kim. CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. IEEE/ACM ASE 2019. 2019
G. Lee, S. Kang, and J. J. Whang, , Hyperlink Classification via Structured Graph Embedding, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019.
Kyung-Min Kim, Donghyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha. Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. Recsys 2019 (LBR). 2019
Minz Won, Sanghyuk Chun, Xavier Serra. Automatic music tagging with Harmonic CNN. ISMIR 2019 (Late break demo). 2019
Gyuwan Kim. Subword Language Model for Query Auto-Completion. EMNLP-IJCNLP 2019.
Fuxiang Chen, Seung-won Hwang (Yonsei Univ.), Jaegul Choo (Korea Univ.), Jung-Woo Ha, Sung Kim. NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP-IJCNLP 2019.
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee. Learning with Limited Data for Multilingual Reading Comprehension. EMNLP 2019.
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi (Univ. of Washington). Mixture Content Selection for Diverse Sequence Generation. EMNLP-IJCNLP 2019. ​
Daesik Kim, Seonhoon Kim, Nojun Kwak. Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. ACL 2019. ​
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo. A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. arXiv. 2019
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang. BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics. 2019
Eunwoo Song, Kyungguen Byun, Hong-Goo Kang. ExcitNet Vocoder: A Neural Excitation Model for Parametric Speech Synthesis Systems. EUSIPCO 2019. 2019
Ohsung Kwon, Eunwoo Song, Jae-Min Kim,Hong-Goo Kang. Effective Parameter Estimation Methods for an ExcitNet Model in Generative Text-to-Speech Systems. arXiv. 2019
Kyungguen Byun, Eunwoo Song, Jinseob Kim, Jae-Min Kim, Hong-Goo Kang. Excitation-by-SampleRNN Model for Text-to-Speech. ITC-CSCC 2019. 2019
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation. INTERSPEECH 2019.
Min-Jae Hwang, Hong-Goo Kang. Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment. INTERSPEECH 2019.
Joon Son Chung, Bong-Jin Lee, Icksang Han. Who Said that: Audio-Visual Speaker Diarisation of Real-World Meetings. INTERSPEECH 2019.
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. My Lips are Concealed: Audio-Visual Speech Enhancement through Obstructions. INTERSPEECH 2019.
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi. Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. ACL 2019.
Sung Kyu Moon, Suwon Shon. Domain Mismatch Robust Acoustic Scene Classification Using Channel Information Conversion. ICASSP 2019.
Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang. Perfect Match: Improved Cross-Modal Embeddings for Audio-Visual Synchronisation. ICASSP 2019.
Ohsung Kwon, Inseon Jang (ETRI), ChungHyun Ahn (ETRI), Hong-Goo Kang (Yonsei Univ.). An Effective Style Token Weight Control Technique for End-to-End Emotional Speech Synthesis. IEEE Signal Processing Letters (presented @ ICASSP 2020).
Gayoung Lee, Dohyun Kim (NAVER Webtoon), Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang (NAVER Webtoon). Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH-Asia. 2019
Chae Young Lee, Youngmin Baek, Hwalsuk Lee. TedEval: A Fair Evaluation Metric for Scene Text Detectors. Workshop on Industrial Applications of Document Analysis and Recognition 2019.
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo. CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Classification Robustness and Uncertainty. ICCV 2019 (Oral).
Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee. What is Wrong with Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019 (Oral).
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byungkyu Kang, Jung-Woo Ha. Photorealistic Style Transfer via Wavelet Transforms. ICCV 2019.
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi. A Comprehensive Overhaul of Feature Distillation. ICCV 2019.
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee. Character Region Awareness for Text Detection. CVPR 2019.
Seunghyun Park, Seung Shin, Bado Lee, Junyeop Lee, Jaeheung Surh, Minjoon Seo, Hwalsuk Lee. CORD: A Consolidated Receipt Dataset for Post-OCR Parsing. Document Intelligence [email protected] 2019. 2019
YoungJoon Yoo, Dongyoon Han, Sangdoo Yun. EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. arXiv. 2019
Minz Won, Sanghyuk Chun, Xavier Serra. Visualizing and Understanding Self-Attention Based Music Tagging. Machine Learning for Music Discovery Workshop (Contributed Talk)@ICML 2019. 2019
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo. An Empirical Evaluation on Robustness and Uncertainty of Regularization methods Robustness and Uncertainty. Uncertainty & Robustness in Deep Learning [email protected] 2019. 2019
Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim. Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty. ICML 2019.
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim. DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR 2019.
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha. Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. ICLR 2019.
Seong Joon Oh, Andrew C. Gallagher, Kevin P. Murphy, Florian Schroff, Jiyan Pan, Joseph Roth. Modeling Uncertainty with Hedged Instance Embeddings. ICLR 2019.
Jisung Hwang, Younghoon Kim, Sanghyuk Chun, Jaejun Yoo, Ji-Hoon Kim, Dongyoon Han. Where To Be Adversarial Perturbations Added? Investigating and Manipulating Pixel Robustness Using Input Gradients. Debugging Machine Learning Models [email protected] 2019. 2019
Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon. Adversarial Dropout for Recurrent Neural Networks. AAAI 2019.
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi. Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019.
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi. Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019 (Oral)
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim. Paraphrase Diversification using Counterfactual Debiasing. AAAI 2019.
Jamin Shin, Andrea Madotto, Minjoon Seo, Pascale Fung. End-to-End Question Answering Models for Goal-Oriented Dialog Learning. Workshop on DSTC 2019 (at AAAI). 2019
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon. Dirichlet Variational Autoencoder. arXiv. 2019
​

~ 2018

Kyung-Min Kim, Seong-Ho Choi (SNU), Jin-Hwa Kim (SKT), Byoung-Tak Zhang (SNU). Multimodal Dual Attention Memory for Video Story Question Answering. ECCV 2018.
Donghoon Lee (SNU), Sangdoo Yun, Sungjoon Choi (SNU), Hwiyeon Yoo (SNU), Ming-Hsuan Yang (Univ. of Merced), Songhwai Oh (SNU). Unsupervised Holistic Image Generation from Key Local Patches. ECCV 2018.
Yunjey Choi, Minje Choi (Korea Univ.), Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo (Korea Univ.). StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR 2018 (Oral). 2018
Jongwon Choi (SNU), Hyung Jin Chang (Univ. of Birmingham), Tobias Fischer (QUT), Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong (SNU), Yiannis Demiris (Imperial College London), Jin Young Choi (SNU). Context-aware deep feature compression for high-speed visual tracking. CVPR 2018.
Jinwoong Kim, Minkyu Kim, Heungseok Park, Ernar Kusdavletov, Adrian Kim, Ji-Hoon Kim, Jung-Woo Ha, Nako Sung. CHOPT: Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. arXiv. 2018
Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang. Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog. NeurIPS 2018 (Spotlight).
Sihyeon Seong (KAIST), Yekang Lee (KAIST), Youngwook Kee (KAIST), Dongyoon Han, Junmo Kim (KAIST). Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. UAI 2018.
Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi. Neural Speed Reading via Skim-RNN. ICLR 2018.
Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha. Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. arXiv. 2018
Eunwoo Song, Jinseob Kim, Kyungguen Byun, Hong-Goo Kang. Speaker-Adaptive Neural Vocoders for Statistical Parametric Speech Synthesis Systems. arXiv. 2018
Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi. Phrase-Indexed Question Answering: A New Challenge towards Scalable Document Comprehension. EMNLP 2018. 2018
Min-Jae Hwang, Eunwoo Song, Jin-Seob Kim, Hong-Goo Kang. A Unified Framework for the Generation of Glottal Signals in Deep Learning-Based Parametric Speech Synthesis Systems. Interspeech 2018. 2018
Joun Yeop Lee, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim, Eunwoo Song. Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis. Interspeech 2018. 2018
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. Deep Lip Reading: a Comparison of Models and an Online Application. Interspeech 2018. 2018
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. The Conversation: Deep Audio Visual Speech Enhancement. Interspeech 2018. 2018
Joon Son Chung, Arsha Nagrani, Andrew Zisserman. VoxCeleb2: Deep Speaker Recognition. Interspeech 2018. 2018
J. J. Whang, Y. Jung, I. S. Dhillon, S. Kang, and J. Lee, Fast Asynchronous Anti-TrustRank for Web Spam Detection, ACM International Conference on Web Search and Data Mining (WSDM) Workshop on MIS2: Misinformation and Misbehavior Mining on the Web, 2018.
Kyoung-Rok Jang, Sung-Hyon Myaeng, and Sang-Bum Kim: Interpretable Word Embedding Contextualization, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. 2018.
Taewon Yoon, Sung-Hyon Myaeng, Hyun-Wook Woo, Seung-Wook Lee, and Sang-Bum Kim: On Temporally Sensitive Word Embeddings for News Information Retrieval, proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, ECIR2018
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam. Representation Learning of Music Using Artist Labels. ISMIR 2018. 2018
Xiaodong Gu, Hongyu Zhang, Sunghun Kim. Deep Code Search. ICSE 2018. 2018
Seunghyun Park, You Jin Kim, Jeong Whun Kim, Jin Joo Park, Borim Ryu, Jung-Woo Ha. Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. IEEE BIBE 2018.
Hanjoo Kim, Minkyu Kim, Dongjoo Seo, Jinwoong Kim, Heungseok Park, Soeun Park, Hyunwoo Jo, KyungHyun Kim, Youngil Yang, Youngkwan Kim, Nako Sung, Jung-Woo Ha. NSML: Meet the MLaaS Platform with a Real-World Case Study. arXiv. 2018
Jung-Woo Ha, Adrian Kim, Chanju Kim, Jangyeon Park, Sung Kim. Automatic Music Highlight Extraction Using Convolutional Recurrent Attention Networks. arXiv. 2017
Keunchan Park, Jisoo Lee, Jaeho Choi. Deep Neural Networks for News Recommendations. CIKM 2017. 2017
​Hyun-Je Song, A-Yeong Kim, Seong-Bae Park. Translation of Natural Language Query into Keyword Query Using a RNN Encoder-Decoder. SIGIR 2017. ​​
Mami Kawasaki, Inho Kang, Tetsuya Sakai. Ranking Rich Mobile Verticals based on Clicks and Abandonment. CIKM 2017.
Eunwoo Song, Frank K. Soong, Hong-Goo Kang. Perceptual Quality and Modeling Accuracy of Excitation Parameters in DLSTM-Based Speech Synthesis Systems. ASRU 2017. 2017
Chanyoung Park, Kyungduk Kim, Songkuk Kim. Attention-based Dialog Embedding for Dialog Breakdown Detection. DSTC 2017
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jinwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Donghyun Kwak, Jung-Woo Ha, Sung Kim. NSML: A Machine Learning Platform That Enables You to Focus on Your Models. NIPS WS ML Systems 2017. 2017
You Jin Kim, Yun-Geun Lee, Jeong Whun Kim, Jin Joo Park, Borim Ryu, Jung-Woo Ha. Highrisk Prediction from Electronic Medical Records via Deep Attention Networks. NIPS WS ML4H 2017. 2017
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang. Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017. 2017
Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim. Dual attention networks for multimodal reasoning and matching. CVPR 2017 (Spot).
Jungyeul Park, Loic Dugast, Jeen-Pyo Hong, Chang-Uk Shin, Jeong-Won Cha. Building a Better Bitext for Structurally Different Languages through Self-Training. Workshop on Curation and Applications of Parallel and Comparable Corpora in IJCNLP 2017. 2017
Jin-Hwa Kim, Kyoung-Woon On, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang. Hadamard product for low-rank bilinear pooling. ICLR 2017. 2017
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