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Full publication list of NAVER AI Lab & CLOVA

2022

Hwanjun Song, 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 2022.
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.

2021

Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon (Pusan National University). Graphs, Entities, and Step Mixture for Enriching Graph Representation. IEEE Access. 2021.
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.
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.
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.
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.
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.
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.
Dongmin Park (KAIST), Hwanjun Song, MinSeok Kim (KAIST), Jae-Gil Lee (KAIST) Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS 2021.
Jinhee Lee (KAIST)*, Haeri Kim (KAIST)*, Youngkyu Hong* , Hye Won Chung (KAIST) Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Network. NeurIPS 2021.
Youngkyu Hong, Eunho Yang (KAIST). Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning. NeurIPS 2021.
Sungmin Cha*, Beomyoung Kim*, Youngjoon Yoo, Taesup Moon (SNU). SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS 2021.
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).
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.
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).
Hwiyeol Jo, Jaeseo Lim (SNU), Byoung-Tak Zhang (SNU). Devil’s Advocate: Novel Boosting Ensemble Method for Text Classification. EMNLP 2021 (Findings)
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. EMNLP 2021 (Findings)
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.
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.
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.
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woomyeong Park. GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation. EMNLP 2021(Findings).
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.
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.
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).
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.
Byungsoo Ko, Geonmo Gu, Han-Gyu Kim. Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV 2021.
Daehee Kim (Kookmin U.), Seunghyun Park, Jinkyu Kim (Korea U.), Jaekoo Lee (Kookmin U.). SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. ICCV 2021.
Jeesoo Kim (SNU), Junsuk Choe, Sangdoo Yun, Nojun Kwak (SNU). Normalization Matters in Weakly Supervised Object Localization. ICCV 2021.
Minsong Ki (Yonsei U.), Youngjung Uh (Yonsei U.), Junsuk Choe, Hyeran Byun (Yonsei U.). Contrastive Attention Maps for Self-supervised Co-localization. ICCV 2021.
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.
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.
Jae Myung Kim*, Junsuk Choe*, Zeynep Akata (U of Tuebingen), Seong Joon Oh. Keep CALM and Improve Visual Feature Attribution. ICCV 2021.
Byeongho Heo, Sangdoo Yun, Dongyoon Han , Sanghyuk Chun , Junsuk Choe, Seong Joon Oh. Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021.
Grace Zhang (USC), Linghan Zhong (USC), Youngwoon Lee, Joseph Lim. Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. RSS 2021.
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.
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)
Kyungho Kim, Kyungjae Lee, Seung-won Hwang, Young-In Song, Seungwook Lee, Query Generation for Multimodal Documents, EACL 2021 (Long)
Jihyuk Kim, Young-In Song and Seung-won Hwang, Web Document Encoding for Structure-Aware Keyphrase Extraction, SIGIR 2021 (short)
Hidetaka Kamigaito, Jingun Kwon, Young-In Song and Manabu Okumura, A New Surprise Measure for Extracting Interesting Relationships between Persons, EACL 2021 (Demonstration track)
Jaesong Lee, Jingu Kang, Shinji Watanabe (CMU). Layer Pruning on Demand with Intermediate CTC. Interspeech 2021.
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.
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.
Eunbi Choi, Hwayeon Kim, Jonghwan Kim, Jae-Min Kim. Label Embedding for Chinese Grapheme-to-Phoneme Conversion. Interspeech 2021.
Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. High-fidelity Parallel WaveGAN with Multi-band Harmonic-plus-Noise Model. Interspeech 2021.
Hemlata Tak (EURECOM), Jee-weon Jung, Jose Patino (EURECOM), Massimiliano Todisco (EURECOM) and Nicholas Evans (EURECOM). Graph Attention Networks for Anti-Spoofing. Interspeech 2021.
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.
Lukas Lee, Youna Ji, Minjae Lee, Min-Seok Choi. DEMUCS-Mobile : On-device lightweight speech enhancemen. Interspeech 2021.
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.
Raphael Shu, Kang Min Yoo, Jung-Woo Ha. Reward Optimization for Neural Machine Translation with Learned Metrics. arXiv. 2021. Github
Yeon Seonwoo (KAIST), Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh (KAIST). Weakly Supervised Pre-Training for Multi-Hop Retriever. ACL 2021 (Findings).
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang (KAIST), Minjoon Seo (KAIST). Spatial Dependency Parsing for Semi-Structured Document Information Extraction. ACL 2021 (Findings).
Soyoung Yoon, Gyuwan Kim, Gyumin Park (KAIST). SSMix: Saliency-based Span Mixup for Text Classification. ACL 2021 (Findings).
Taeuk Kim, Kang Min Yoo, Sang-goo Lee (SNU). Self-Guided Contrastive Learning for BERT Sentence Representations. ACL 2021.
Seongbin Kim*, Gyuwan Kim*, Seongjin Shin, Sangmin Lee (Inha Univ). Two-stage Textual Knowledge Distillation to Speech Encoder for Spoken Language Understanding. ICASSP 2021.
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.
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.
Hwayeon Kim, Jonghwan Kim, Jae Min Kim. NN-KOG2P: A Novel Grapheme-Phoneme model for Korean language. ICASSP 2021.
Yoohwan Kwon, Hee-Soo Heo, Bong-Jin Lee, Joon Son Chung. The ins and outs of speaker recognition: lessons from VoxSRC 2020. ICASSP 2021.
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.
Jee-weon Jung, Hee-Soo Heo, Ha-Jin Yu(UOS), Joon Son Chung. Graph Attention Networks for Speaker Verification. ICASSP 2021.
Jaesong Lee, Shinji Watanabe (CMU). Intermediate Loss Regularization for CTC-based Speech Recognition. ICASSP 2021.
Wonjae Kim, Bokyung Son (Kakao Enterprise), Ildoo Kim (Kakaobrain), ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision. ICML 2021.
Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo. Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021. Github
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
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus. Probabilistic Embeddings for Cross-Modal Retrieval. CVPR 2021.
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
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.
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
Jungsoo Park, Gyuwan Kim, Jaewoo Kang (Korea U.). Consistency Training with Virtual Adversarial Discrete Perturbation. arXiv. 2021
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.
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
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
Minsuk Chang (Naver AI Lab & KAIST), Mina Huh (KAIST), Juho Kim (KAIST). RubySlippers: Supporting Content-based Voice Navigation for How-to Videos. CHI 2021.
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.
Seungwon Do (ETRI), Minsuk Chang (Naver AI Lab & KAIST), Byungjoo Lee (KAIST). A Simulation Model of Intermittently Controlled Point-and-Click Behavior. CHI 2021
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.
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.
Geonmo Gu, Byungsoo Ko, Han-Gyu Kim. Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI 2021.
Beomyoung Kim, Sangeun Han (KAIST), Junmo Kim (KAIST). Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI 2021.
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim (Yonsei Univ.). Few-shot Font Generation with Localized Style Representations and Factorization. AAAI 2021.

2020

Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha. Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. CUI 2020. 2020
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.
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. 2020
Hojae Han, Seung-won Hwang, Young-In Song, and Siyeon Kim, "Training Data Optimization for Pairwise Learning to Rank", ICTIR 2020
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
Jingun Kwon, Hidetaka Kamigaito, Young-In Song, and Manabu Okumura, Hierarchical Trivia Fact Extraction from Wikipedia Articles, COLING 2020
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.
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. 2020
Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, Sunyoung Kwon. Multi-Manifold Learning for Large-scale Targeted Advertising System. [email protected] 2020. 2020
Young-Jin Park, Kyuyong Shin, Kyung-Min Kim. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments. [email protected] 2020. 2020
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.
Gyuwan Kim, Tae-Hwan Jung. Large Product Key Memory for Pretrained Language Models. EMNLP 2020 (Findings).
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.
Yeon Seonwoo (KAIST), Ji-Hoon Kim, Jung-Woo Ha, Alice Oh (KAIST). Context-Aware Answer Extraction in Question Answering. EMNLP 2020.
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.
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.
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.
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.
Triantafyllos Afouras (University of Oxford), Joon Son Chung, Andrew Zisserman(University of Oxford). Now you're speaking my language: Visual language identification. Interspeech 2020.
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.
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.
Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang (Yonsei University). FaceFilter: Audio-visual speech separation using still images. Interspeech 2020.
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.
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.
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.
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
Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha. Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. ArXiv. 2020
Sungdong Kim, Sohee Yang, Gyuwan Kim, Sang-Woo Lee. Efficient Dialogue State Tracking by Selectively Overwriting Memory. ACL 2020.
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.
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.
Seongkyu Mun, Soyeon Choe, Jaesung Huh, Joon Son Chung. The Sound of My Voice: Speaker Representation Loss for Target Voice Separation. ICASSP 2020.
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.
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.
Hsuan-I Ho, Minho Shim, Dongyoon Wee. Learning From Dances : Pose-invariant Re-identification for Multi-person Tracking. ICASSP 2020.
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.
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.
Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon. Graphs, Entities, and Step Mixture. GRL+ [email protected] 2020. 2020
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
Taehoon Kim, Youngjoon Yoo, Jihoon Yang. StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. ArXiv. 2020
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo. Reliable Fidelity and Diversity Metrics for Generative Models. ICML 2020. 2020
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo (Korea Univ.), Seong Joon Oh. Learning De-biased Representations with Biased Representations. ICML 2020. 2020
Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim. VideoMix: Rethinking Data Augmentation for Video Classification. ArXiv. 2020
Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. Rethinking the Truly Unsupervised Image-to-Image Translation. ArXiv. 2020
Jungkyu Lee, Taeryun Won, Kiho Hong. Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network. arXiv. 2020
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.
Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman. Self-supervised learning of audio-visual objects from video. ECCV 2020.
Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee. Few-shot Compositional Font Generation with Dual Memory. ECCV 2020.
Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, JunyeopLee, Daehyun Nam, Hwalsuk Lee. Character Region Attention For Text Spotting. ECCV 2020.
Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee. ReAD: Reciprocal Attention Discriminator for Image-to-Video Re-Identification. ECCV 2020.
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.
Byungsoo Ko*, Geonmo Gu*. Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CVPR 2020.
Jinhyung Kim, Dongyoon Wee, Soonmin Bae, Junmo Kim. Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. CVPR 2020. 2020
Jaejun Yoo*, Namhyuk Ahn, Kyung-Ah Sohn. Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. CVPR 2020. 2020
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.
Yunjey Choi*, Youngjung Uh*, Jaejun Yoo*, Jung-Woo Ha. StarGAN v2: Diverse Image Synthesis for Multiple Domains. CVPR 2020.
Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae. Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. WACV 2020.
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.
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. 2020
Geonmo Gu, Byung Soo Ko. Symmetrical synthesis for deep metric learning. AAAI 2020. 2020
Pilhyeon Lee (Yonsei Univ.), Youngjung Uh, Heyran Byun (Yonsei Univ.). Background Suppression Networks for Weakly-supervised Temporal Action Localization. AAAI 2020. 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. 2019
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon. Hierarchical Context Enabled Recurrent Neural Network for Recommendation. AAAI 2019. 2019
Daesik Kim, Seonhoon Kim, Nojun Kwak. Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. ACL 2019. ​
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee. Learning with Limited Data for Multilingual Reading Comprehension. EMNLP 2019. ​
Seonhoon Kim, Inho Kang, Nojun Kwak. Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. AAAI 2019. ​ ​Sunghyun Park, Seung-won Hwang,
Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim. Paraphrase Diversification using Counterfactual Debiasing. AAAI 2019.
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo. A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. arXiv. 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. 2019
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi (Univ. of Washington). Mixture Content Selection for Diverse Sequence Generation. EMNLP-IJCNLP 2019. 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. 2019
Min-Jae Hwang, Hong-Goo Kang. Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment. INTERSPEECH 2019. 2019
Joon Son Chung, Bong-Jin Lee, Icksang Han. Who Said that: Audio-Visual Speaker Diarisation of Real-World Meetings. INTERSPEECH 2019. 2019
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. My Lips are Concealed: Audio-Visual Speech Enhancement through Obstructions. INTERSPEECH 2019. 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. 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. 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). 2019
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. 2019
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim. DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR 2019. 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. 2019
Seong Joon Oh, Andrew C. Gallagher, Kevin P. Murphy, Florian Schroff, Jiyan Pan, Joseph Roth. Modeling Uncertainty with Hedged Instance Embeddings. ICLR 2019. 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. 2019
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi. Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019. 2019
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi. Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019, Oral. 2019
Sunghyun Park, Seung-Won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim. Paraphrase Diversification Using Counterfactual Debiasing. AAAI 2019. 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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