All Topics
Full publication list of NAVER AI Lab & CLOVA


Target venues (73): AAAI (4), CHI (2), ICASSP (7), ICLR (13), ACL (2), CVPR (14), NAACL (5), ICML (5), Interspeech (8), ECCV (13)
  1. 1.
    Gayouong 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.
  2. 2.
    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.
  3. 3.
    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.
  4. 4.
    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.
  5. 5.
    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.
  6. 6.
    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.
  7. 7.
    Byeonghu Na (KAIST), Yoonsik Kim (NAVER CLOVA), Sungrae Park (UPSTAGE). Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. ECCV 2022.
  8. 8.
    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.
  9. 9.
    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.
  10. 10.
    Byeong-Ju Han (NAVER CLOVA), Jae-Young Sim (UNIST). RZero-Shot Learning for Reflection Removal of Single 360-Degree Image. ECCV 2022.
  11. 11.
    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.
  12. 12.
    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.
  13. 13.
    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.
  14. 14.
    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.
  15. 15.
    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.
  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). ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. ICML Workshop, 2022: Updatable Machine Learning. 2022.
  17. 17.
    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.
  18. 18.
    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.
  19. 19.
    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.
  20. 20.
    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.
  21. 21.
    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.
  22. 22.
    Jaesong Lee (NAVER CLOVA), Lukas Lee (NAVER CLOVA) and Shinji Watanabe (CMU). Memory-Efficient Training of RNN-Transducer with Sampled Softmax. Interspeech 2022.
  23. 23.
    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.
  24. 24.
    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.
  25. 25.
    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.
  26. 26.
    Namuk Park (NAVER AI Lab), Songkuk Kim (Yonsei Univ.). Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. ICML 2022.
  27. 27.
    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.
  28. 28.
    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.
  29. 29.
    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.
  30. 30.
    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.
  31. 31.
    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.
  32. 32.
    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.
  33. 33.
    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.
  34. 34.
    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.
  35. 35.
    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.
  36. 36.
    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.
  37. 37.
    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.
  38. 38.
    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)
  39. 39.
    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.
  40. 40.
    Jungsoo Park* (NAVER CLOVA), Gyuwan Kim* (UCSB, NAVER CLOVA AI Lab), Jaewoo Kang (Korea Univ.). Consistency Training with Virtual Adversarial Discrete Perturbation. NAACL 2022.
  41. 41.
    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.
  42. 42.
    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.
  43. 43.
    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.
  44. 44.
    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.
  45. 45.
    Junho Kim (NAVER AI Lab) , Yunjey Choi (NAVER AI Lab), Youngjung Uh (Yonsei Univ.). Feature Statistics Mixing Regularization for Generative Adversarial Networks. CVPR 2022.
  46. 46.
    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.
  47. 47.
    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.
  48. 48.
    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.
  49. 49.
    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.
  50. 50.
    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.
  51. 51.
    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.
  52. 52.
    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.
  53. 53.
    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.
  54. 54.
    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.
  55. 55.
    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.
  56. 56.
    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.
  57. 57.
    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.
  58. 58.
    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.
  59. 59.
    Sungdong Kim (NAVER AI Lab), Gangwoo Kim (Korea Univ.). Saving Dense Retriever from Shortcut Dependency in Conversational Search. arxiv:2202.07280. 2022.
  60. 60.
    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.
  61. 61.
    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.
  62. 62.
    Namkyu Jung (NAVER CLOVA), Geonmin Kim (NAVER CLOVA), Joon Son Chung (KAIST). Spell My Name: Keyword Boosted Speech Recognition. ICASSP 2022.
  63. 63.
    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.
  64. 64.
    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.
  65. 65.
    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.
  66. 66.
    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.
  67. 67.
    Yunji Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab). Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. ICLR 2022.
  68. 68.
    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.
  69. 69.
    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.
  70. 70.
    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.
  71. 71.
    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.
  72. 72.
    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.
  73. 73.
    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.
  74. 74.
    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.
  75. 75.
    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.
  76. 76.
    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.
  77. 77.
    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.
  78. 78.
    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.
  79. 79.
    Namuk Park (Yonsei Univ. & NAVER CLOVA AI Lab) Songkuk Kim (Yonsei Univ.). How Do Vision Transformers Work? ICLR 2022.
  80. 80.
    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.
  81. 81.
    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.
  82. 82.
    SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction Data. IUI 2022.
  83. 83.
    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.
  84. 84.
    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.
  85. 85.
    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.
  86. 86.
    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.
  87. 87.
    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.


  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.
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    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.
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    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.
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    Hojae Han, Seung-won Hwang, Young-In Song, and Siyeon Kim, "Training Data Optimization for Pairwise Learning to Rank", ICTIR 2020
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    Jingun Kwon, Hidetaka Kamigaito, Young-In Song, and Manabu Okumura, Hierarchical Trivia Fact Extraction from Wikipedia Articles, COLING 2020.
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    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.
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    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.
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    Gyuwan Kim, Tae-Hwan Jung. Large Product Key Memory for Pretrained Language Models. Findings in EMNLP 2020.
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    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.
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    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.
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    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.
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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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