| 2026 | LREC | Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts. | Seyoung Song, Nawon Kim, Songeun Chae, Kiwoong Park, Jiho Jin, Haneul Yoo, Kyunghyun Cho, Alice Oh |
| 2025 | AISTATS | Semiparametric conformal prediction. | Ji Won Park, Kyunghyun Cho |
| 2025 | EMNLP | Language Models as Causal Effect Generators. | Lucius E. J. Bynum, Kyunghyun Cho |
| 2025 | EMNLP | Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check. | Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho |
| 2025 | EMNLP | Following Length Constraints in Instructions. | Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason E. Weston, Jing Xu |
| 2025 | ICLR | Aioli: A Unified Optimization Framework for Language Model Data Mixing. | Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher R |
| 2025 | ICLR | Concept Bottleneck Language Models For Protein Design. | Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Hctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey |
| 2025 | ICLR | X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. | Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun |
| 2025 | ICML | Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks. | Angelica Chen, Samuel Don Stanton, Frances Ding, Robert G. Alberstein, Andrew Martin Watkins, Richard Bonneau, Vladimir Gligorijevic, Kyunghyun Cho, Nathan C. Frey |
| 2025 | IJCNLP | Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents. | Seyoung Song, Haneul Yoo, Jiho Jin, Kyunghyun Cho, Alice Oh |
| 2025 | NAACL | The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models. | Artem Kirsanov, Chi-Ning Chou, Kyunghyun Cho, SueYeon Chung |
| 2024 | EACL | Leveraging Implicit Feedback from Deployment Data in Dialogue. | Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston |
| 2024 | EACL | System-Level Natural Language Feedback. | Weizhe Yuan, Kyunghyun Cho, Jason Weston |
| 2024 | ICLR | Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs. | Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra |
| 2024 | ICLR | Protein Discovery with Discrete Walk-Jump Sampling. | Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Htzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi |
| 2024 | ICLR | Concept Bottleneck Generative Models. | Aya Abdelsalam Ismail, Julius Adebayo, Hctor Corrada Bravo, Stephen Ra, Kyunghyun Cho |
| 2024 | ICML | Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning. | Sungmin Cha, Kyunghyun Cho, Taesup Moon |
| 2024 | ICML | Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization. | Deokjae Lee, Hyun Oh Song, Kyunghyun Cho |
| 2024 | ICML | BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. | Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho |
| 2024 | ICML | Self-Rewarding Language Models. | Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston |
| 2024 | NAACL | Show Your Work with Confidence: Confidence Bands for Tuning Curves. | Nicholas Lourie, Kyunghyun Cho, He He |
| 2024 | NAACL | First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models. | Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez |
| 2023 | ACL | On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. | Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov |
| 2023 | ACL | Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. | Zihao Yang, Chenkang Zhang, Muru Wu, Xujin Liu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann |
| 2023 | ACL | Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. | Hongyi Zheng, Yixin Zhu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann |
| 2023 | AsiaCCS | A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing. | Hyunjin Kim, Jinyeong Bak, Kyunghyun Cho, Hyungjoon Koo |
| 2023 | ICASSP | A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. | Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath |
| 2023 | ICLR | A Non-monotonic Self-terminating Language Model. | Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee |
| 2023 | ICLR | Linear Connectivity Reveals Generalization Strategies. | Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, Joo Sedoc, Naomi Saphra |
| 2023 | ICML | Towards Understanding and Improving GFlowNet Training. | Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani |
| 2023 | Interspeech | Improving Joint Speech-Text Representations Without Alignment. | Cal Peyser, Zhong Meng, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho, Ke Hu |
| 2022 | ACL | DEEP: DEnoising Entity Pre-training for Neural Machine Translation. | Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig |
| 2022 | EMNLP | Translation between Molecules and Natural Language. | Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji |
| 2022 | EMNLP | Translating Hanja Historical Documents to Contemporary Korean and English. | Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh |
| 2022 | ICLR | Chemical-Reaction-Aware Molecule Representation Learning. | Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke |
| 2022 | ICML | Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. | Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras |
| 2022 | IJCNLP | Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. | Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho |
| 2022 | Interspeech | Towards Disentangled Speech Representations. | Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho |
| 2022 | NAACL | On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. | Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woo-Myoung Park, Jung-Woo Ha, Nako Sung |
| 2022 | NAACL | HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. | Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh |
| 2021 | AAAI | MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling. | Sean Welleck, Kyunghyun Cho |
| 2021 | ACL | Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search. | Gyuwan Kim, Kyunghyun Cho |
| 2021 | ACL | Comparing Test Sets with Item Response Theory. | Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman |
| 2021 | EACL | Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. | Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng |
| 2021 | EACL | AdapterFusion: Non-Destructive Task Composition for Transfer Learning. | Jonas Pfeiffer, Aishwarya Kamath, Andreas Rckl, Kyunghyun Cho, Iryna Gurevych |
| 2021 | EMNLP | The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. | Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss |
| 2021 | ICLR | Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule. | Shuhei Kurita, Kyunghyun Cho |
| 2021 | ICML | Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. | Stanislaw Jastrzebski, Devansh Arpit, Oliver strand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras |
| 2021 | ICML | Rissanen Data Analysis: Examining Dataset Characteristics via Description Length. | Ethan Perez, Douwe Kiela, Kyunghyun Cho |
| 2020 | AAAI | Learning to Learn Morphological Inflection for Resource-Poor Languages. | Katharina Kann, Samuel R. Bowman, Kyunghyun Cho |
| 2020 | AAAI | Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. | Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho |
| 2020 | AAAI | Neural Machine Translation with Byte-Level Subwords. | Changhan Wang, Kyunghyun Cho, Jiatao Gu |
| 2020 | ACL | Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training. | Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, Jason Weston |
| 2020 | ACL | Asking and Answering Questions to Evaluate the Factual Consistency of Summaries. | Alex Wang, Kyunghyun Cho, Mike Lewis |
| 2020 | COLING | Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning. | Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi, Aitor Soroa, Eneko Agirre, Gorka Azkune |
| 2020 | EAMT | Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings. | Antnio Gis, Kyunghyun Cho, Andr F. T. Martins |
| 2020 | EMNLP | Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation. | Jason Lee, Raphael Shu, Kyunghyun Cho |
| 2020 | EMNLP | Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. | Manling Li, Qi Zeng, Ying Lin, Kyunghyun Cho, Heng Ji, Jonathan May, Nathanael Chambers, Clare R. Voss |
| 2020 | EMNLP | SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. | Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi |
| 2020 | EMNLP | Unsupervised Question Decomposition for Question Answering. | Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela |
| 2020 | EMNLP | AdapterHub: A Framework for Adapting Transformers. | Jonas Pfeiffer, Andreas Rckl, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych |
| 2020 | EMNLP | Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. | Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho |
| 2020 | EMNLP | Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. | Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin |
| 2020 | ICLR | The Break-Even Point on Optimization Trajectories of Deep Neural Networks. | Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras |
| 2020 | ICLR | Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. | Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang |
| 2020 | ICLR | Neural Text Generation With Unlikelihood Training. | Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston |
| 2020 | ICLR | Dynamics-Aware Embeddings. | William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta |
| 2020 | IJCNLP | A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. | Moin Nadeem, Tianxing He, Kyunghyun Cho, James R. Glass |
| 2019 | AAAI | Classifier-Agnostic Saliency Map Extraction. | Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho |
| 2019 | ACL | Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li |
| 2019 | ACL | Generating Diverse Translations with Sentence Codes. | Raphael Shu, Hideki Nakayama, Kyunghyun Cho |
| 2019 | ACL | Dialogue Natural Language Inference. | Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho |
| 2019 | CVPR | Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples. | Jake Zhao, Kyunghyun Cho |
| 2019 | EMNLP | Emergent Linguistic Phenomena in Multi-Agent Communication Games. | Laura Graesser, Kyunghyun Cho, Douwe Kiela |
| 2019 | EMNLP | Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. | Katharina Kann, Kyunghyun Cho, Samuel R. Bowman |
| 2019 | EMNLP | Countering Language Drift via Visual Grounding. | Jason Lee, Kyunghyun Cho, Douwe Kiela |
| 2019 | EMNLP | Finding Generalizable Evidence by Learning to Convince Q&A Models. | Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho |
| 2019 | ICLR | DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. | Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim |
| 2019 | ICML | Non-Monotonic Sequential Text Generation. | Sean Welleck, Kiant Brantley, Hal Daum III, Kyunghyun Cho |
| 2019 | INLG | Importance of Search and Evaluation Strategies in Neural Dialogue Modeling. | Ilia Kulikov, Alexander H. Miller, Kyunghyun Cho, Jason Weston |
| 2019 | MICCAI | Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. | Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras |
| 2019 | RANLP | Sequential Graph Dependency Parser. | Sean Welleck, Kyunghyun Cho |
| 2018 | AAAI | Search Engine Guided Neural Machine Translation. | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li |
| 2018 | ACL | Zero-Shot Transfer Learning for Event Extraction. | Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss |
| 2018 | CoNLL | The NYU System for the CoNLL-SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection. | Katharina Kann, Stanislas Lauly, Kyunghyun Cho |
| 2018 | EAMT | Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair. | John E. Ortega, Weiyi Lu, Adam Meyers, Kyunghyun Cho |
| 2018 | EMNLP | Jump to better conclusions: SCAN both left and right. | Jasmijn Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, Douwe Kiela |
| 2018 | EMNLP | A Stable and Effective Learning Strategy for Trainable Greedy Decoding. | Yun Chen, Victor O. K. Li, Kyunghyun Cho, Samuel R. Bowman |
| 2018 | EMNLP | Meta-Learning for Low-Resource Neural Machine Translation. | Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho |
| 2018 | EMNLP | Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop. | Rujun Han, Michael Gill, Arthur Spirling, Kyunghyun Cho |
| 2018 | EMNLP | Grammar Induction with Neural Language Models: An Unusual Replication. | Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman |
| 2018 | EMNLP | Grammar Induction with Neural Language Models: An Unusual Replication. | Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman |
| 2018 | EMNLP | Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding. | Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight |
| 2018 | EMNLP | Dynamic Meta-Embeddings for Improved Sentence Representations. | Douwe Kiela, Changhan Wang, Kyunghyun Cho |
| 2018 | EMNLP | Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement. | Jason Lee, Elman Mansimov, Kyunghyun Cho |
| 2018 | ICASSP | Breast Density Classification with Deep Convolutional Neural Networks. | Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho |
| 2018 | ICLR | Unsupervised Neural Machine Translation. | Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho |
| 2018 | ICLR | Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning. | Yun Chen, Kyunghyun Cho, Samuel R. Bowman, Victor O. K. Li |
| 2018 | ICLR | Emergent Communication in a Multi-Modal, Multi-Step Referential Game. | Katrina Evtimova, Andrew Drozdov, Douwe Kiela, Kyunghyun Cho |
| 2018 | ICLR | Boundary Seeking GANs. | R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio |
| 2018 | ICLR | Emergent Translation in Multi-Agent Communication. | Jason Lee, Kyunghyun Cho, Jason Weston, Douwe Kiela |
| 2018 | NAACL | Training a Ranking Function for Open-Domain Question Answering. | Phu Mon Htut, Samuel R. Bowman, Kyunghyun Cho |
| 2017 | AAAI | Query-Efficient Imitation Learning for End-to-End Simulated Driving. | Jiakai Zhang, Kyunghyun Cho |
| 2017 | ACL | Learning to Parse and Translate Improves Neural Machine Translation. | Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho |
| 2017 | EACL | Learning to Translate in Real-time with Neural Machine Translation. | Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li |
| 2017 | EACL | Nematus: a Toolkit for Neural Machine Translation. | Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Lubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria Nadejde |
| 2017 | EMNLP | Trainable Greedy Decoding for Neural Machine Translation. | Jiatao Gu, Kyunghyun Cho, Victor O. K. Li |
| 2017 | EMNLP | Task-Oriented Query Reformulation with Reinforcement Learning. | Rodrigo Nogueira, Kyunghyun Cho |
| 2017 | ICASSP | Convolutional recurrent neural networks for music classification. | Keunwoo Choi, Gyrgy Fazekas, Mark B. Sandler, Kyunghyun Cho |
| 2016 | ACL | A Character-level Decoder without Explicit Segmentation for Neural Machine Translation. | Junyoung Chung, Kyunghyun Cho, Yoshua Bengio |
| 2016 | ACL | Larger-Context Language Modelling with Recurrent Neural Network. | Tian Wang, Kyunghyun Cho |
| 2016 | BMVC | Oracle Performance for Visual Captioning. | Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio |
| 2016 | COLING | A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. | Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho |
| 2016 | CVPR | ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. | Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville |
| 2016 | EMNLP | Zero-Resource Translation with Multi-Lingual Neural Machine Translation. | Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho |
| 2016 | EMNLP | Gated Word-Character Recurrent Language Model. | Yasumasa Miyamoto, Kyunghyun Cho |
| 2016 | NAACL | Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. | Orhan Firat, Kyunghyun Cho, Yoshua Bengio |
| 2016 | NAACL | Learning Distributed Representations of Sentences from Unlabelled Data. | Felix Hill, Kyunghyun Cho, Anna Korhonen |
| 2016 | NAACL | Joint Event Extraction via Recurrent Neural Networks. | Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman |
| 2015 | ICCV | Describing Videos by Exploiting Temporal Structure. | Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville |
| 2015 | ICML | Gated Feedback Recurrent Neural Networks. | Junyoung Chung, aglar Glehre, Kyunghyun Cho, Yoshua Bengio |
| 2015 | ICML | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. | Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio |
| 2015 | Interspeech | A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. | Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals |
| 2015 | RecSys | Learning Distributed Representations from Reviews for Collaborative Filtering. | Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville |
| 2014 | EMNLP | Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. | Kyunghyun Cho, Bart van Merrienboer, aglar Glehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio |
| 2013 | ICML | Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images. | Kyunghyun Cho |