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Kyunghyun Cho — all works

483 works · page 2 of 5 · 101–200 · ← Kyunghyun Cho

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  1. Trainable Greedy Decoding for Neural Machine Translation ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetJiatao Gu, Kyunghyun Cho, Victor O.K. Li2017 · 84 citations
  2. Neural machine translation with a polysynthetic low resource language ↗Machine Translation · no summary yetJohn E. Ortega, Richard Alexander Castro Mamani, Kyunghyun Cho2020 · 83 citations
  3. Parallel tempering is efficient for learning restricted Boltzmann machines ↗2022 International Joint Conference on Neural Networks (IJCNN) · no summary yetKyunghyun Cho, Tapani Raiko, Alexander Ilin2010 · 82 citations
  4. Consistency of a Recurrent Language Model With Respect to Incomplete Decoding ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetSean Welleck et al.2020 · 79 citations
  5. Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines ↗no summary yetKyunghyun Cho, Tapani Raiko, Alexander Ihler2011 · 78 citations
  6. Countering Language Drift via Visual Grounding ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetJason Lee, Kyunghyun Cho, Douwe Kiela2019 · 77 citations
  7. A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging ↗European Signal Processing Conference (EUSIPCO) · no summary yetKeunwoo Choi et al.2018 · 77 citations
  8. AstroCLIP: a cross-modal foundation model for galaxies ↗Monthly Notices of the Royal Astronomical Society · no summary yetLiam Parker et al.2024 · 76 citations
  9. NaturalProofs: Mathematical Theorem Proving in Natural Language ↗arXiv:2104.01112 · no summary yetSean Welleck et al.2021 · 76 citations
  10. A Framework For Contrastive Self-Supervised Learning And Designing A New Approach ↗arXiv (Cornell University) · no summary yetWilliam Falcon, Kyunghyun Cho2020 · 76 citations
  11. Unsupervised deep learning ↗Elsevier eBooks · no summary yetJuha Karhunen, Tapani Raiko, Kyunghyun Cho2015 · 76 citations
  12. On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetSeongjin Shin et al.2022 · 73 citations
  13. A Tutorial on Deep Learning for Music Information Retrieval ↗arXiv (Cornell University) · no summary yetKeunwoo Choi et al.2017 · 73 citations
  14. Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks ↗International Conference on Computer Vision Theory and Applications · no summary yetKyunghyun Cho, Xi Chen2014 · 73 citations
  15. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning ↗arXiv:2504.20073 · no summary yetZihan Wang et al.2025 · 71 citations
  16. Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks ↗International Conference on Computer Vision Theory and Applications · no summary yetKyunghyun Cho, Xi Chen2016 · 71 citations
  17. Rapidly Bootstrapping a Question Answering Dataset for COVID-19 ↗arXiv (Cornell University) · no summary yetRaphael Tang et al.2020 · 70 citations
  18. Larger-Context Language Modelling with Recurrent Neural Network ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTian Wang, Kyunghyun Cho2016 · 70 citations
  19. Enhanced Gradient for Training Restricted Boltzmann Machines ↗Neural Computation · no summary yetKyunghyun Cho, Tapani Raiko, Alexander Ilin2012 · 70 citations
  20. Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetTianxing He et al.2021 · 69 citations
  21. Noisy Parallel Approximate Decoding for Conditional Recurrent Language Model ↗arXiv (Cornell University) · no summary yetKyunghyun Cho2016 · 69 citations
  22. Generating Diverse Translations with Sentence Codes ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetRaphael Shu, Hideki Nakayama, Kyunghyun Cho2019 · 67 citations
  23. Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative ↗IEEE International Symposium on Biomedical Imaging (ISBI) · no summary yetBofei Zhang et al.2020 · 66 citations
  24. Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset ↗Proceedings of the First Workshop on Scholarly Document Processing · no summary yetEdwin Zhang et al.2020 · 66 citations
  25. A Two-stage Approach for Extending Event Detection to New Types via Neural Networks ↗Proceedings of the 1st Workshop on Representation Learning for NLP · no summary yetThien Huu Nguyen et al.2016 · 63 citations
  26. Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetKatharina Kann, Kyunghyun Cho, Samuel R. Bowman2019 · 62 citations
  27. Emergent Translation in Multi-Agent Communication ↗arXiv (Cornell University) · no summary yetJason Lee et al.2017 · 62 citations
  28. Grammar Induction with Neural Language Models: An Unusual Replication ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetPhu Mon Htut, Kyunghyun Cho, Samuel R. Bowman2018 · 61 citations
  29. Training Language Models with Language Feedback ↗arXiv (Cornell University) · no summary yetJérémy Scheurer et al.2022 · 58 citations
  30. The representational geometry of word meanings acquired by neural machine translation models ↗Machine Translation · no summary yetFelix Hill et al.2017 · 58 citations
  31. Embedding Word Similarity with Neural Machine Translation ↗arXiv (Cornell University) · no summary yetFelix Hill et al.2014 · 58 citations
  32. Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes ↗Neural Computation · no summary yetÇağlar Gülçehre et al.2018 · 56 citations
  33. Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia ↗NeuroImage · no summary yetSergey Plis et al.2018 · 55 citations
  34. Natural Language Understanding with Distributed Representation ↗arXiv (Cornell University) · no summary yetKyunghyun Cho2015 · 55 citations
  35. Larger-Context Language Modelling ↗arXiv (Cornell University) · no summary yetTian Wang, Kyunghyun Cho2015 · 55 citations
  36. Emergent Linguistic Phenomena in Multi-Agent Communication Games ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetLaura Harding Graesser, Kyunghyun Cho, Douwe Kiela2019 · 54 citations
  37. Training a Ranking Function for Open-Domain Question Answering ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop · no summary yetPhu Mon Htut, Samuel R. Bowman, Kyunghyun Cho2018 · 54 citations
  38. Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ↗International Conference on Machine Learning · no summary yetKyunghyun Cho2013 · 54 citations
  39. Search Engine Guided Non-Parametric Neural Machine Translation ↗arXiv (Cornell University) · no summary yetJiatao Gu et al.2017 · 53 citations
  40. Not All Neural Embeddings are Born Equal ↗arXiv (Cornell University) · no summary yetFelix Hill et al.2014 · 53 citations
  41. A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models ↗arXiv (Cornell University) · no summary yetElman Mansimov et al.2019 · 52 citations
  42. Emergent Communication in a Multi-Modal, Multi-Step Referential Game ↗arXiv (Cornell University) · no summary yetKatrina Evtimova et al.2017 · 52 citations
  43. Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs ↗arXiv (Cornell University) · no summary yetAngelica Chen et al.2023 · 49 citations
  44. First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetQuan Gan et al.2015 · 49 citations
  45. Improving Code Generation by Training with Natural Language Feedback ↗arXiv:2303.16749 · no summary yetAngelica Chen et al.2023 · 47 citations
  46. Comparing Test Sets with Item Response Theory ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetClara Vania et al.2021 · 47 citations
  47. On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTianxing He et al.2023 · 46 citations
  48. Prediction of total knee replacement using deep learning analysis of knee MRI ↗Scientific Reports · no summary yetHaresh Rengaraj Rajamohan et al.2023 · 46 citations
  49. The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging ↗IEEE Transactions on Emerging Topics in Computational Intelligence · no summary yetKeunwoo Choi et al.2017 · 46 citations
  50. VisualSem: a high-quality knowledge graph for vision and language ↗Proceedings of the 1st Workshop on Multilingual Representation Learning · no summary yetHouda Alberts et al.2021 · 45 citations
  51. Finding Generalizable Evidence by Learning to Convince Q&A ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Siddharth Karamcheti, Rob Fergus, et al.2019 · 43 citations
  52. Code-Switched Named Entity Recognition with Embedding Attention ↗Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching · no summary yetChanghan Wang, Kyunghyun Cho, Douwe Kiela2018 · 43 citations
  53. Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism ↗arXiv (Cornell University) · no summary yetYao Li et al.2015 · 43 citations
  54. Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned ↗arXiv (Cornell University) · no summary yetZhang, Edwin et al.2020 · 41 citations
  55. Chemical-Reaction-Aware Molecule Representation Learning ↗arXiv (Cornell University) · no summary yetHongwei Wang et al.2021 · 40 citations
  56. The Break-Even Point on Optimization Trajectories of Deep Neural Networks ↗arXiv (Cornell University) · no summary yetStanisław Jastrzȩbski et al.2020 · 40 citations
  57. A Stable and Effective Learning Strategy for Trainable Greedy Decoding ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetYun Chen et al.2018 · 40 citations
  58. First Result on Arabic Neural Machine TranslationarXiv:1606.02680Amjad Almahairi, Kyunghyun Cho, Nizar Habash, et al.2016 · 40 citations
  59. ARGUS: Visualization of AI-Assisted Task Guidance in AR ↗IEEE Transactions on Visualization and Computer Graphics · no summary yetSonia Castelo et al.2023 · 38 citations
  60. Globally-Aware Multiple Instance Classifier for Breast Cancer Screening ↗Lecture notes in computer science · no summary yetYiqiu Shen et al.2019 · 38 citations
  61. Jump to better conclusions: SCAN both left and rightEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPJasmijn Bastings, Marco Baroni, Jason Weston, et al.2018 · 38 citations
  62. Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes ↗arXiv (Cornell University) · no summary yetÇağlar Gülçehre et al.2016 · 37 citations
  63. Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning ↗arXiv (Cornell University) · no summary yetKyunghyun Cho, Yoshua Bengio2014 · 37 citations
  64. On the design space between molecular mechanics and machine learning force fields ↗Applied Physics Reviews · no summary yetYuanqing Wang et al.2025 · 36 citations
  65. Boltzmann Machines and Denoising Autoencoders for Image Denoising ↗arXiv (Cornell University) · no summary yetKyunghyun Cho2013 · 36 citations
  66. Protein Design with Guided Discrete Diffusion ↗neural information processing systems · no summary yetNate Gruver et al.2023 · 35 citations
  67. Measuring the usefulness of hidden units in Boltzmann machines with mutual information ↗Neural Networks · no summary yetMathias Berglund, Tapani Raiko, Kyunghyun Cho2014 · 34 citations
  68. DEEP: DEnoising Entity Pre-training for Neural Machine Translation ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJunjie Hu et al.2022 · 33 citations
  69. Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data ↗PLoS Computational Biology · no summary yetAndreas Tjärnberg et al.2021 · 33 citations
  70. Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments ↗arXiv:2311.09497 · no summary yetAlexander Goldberg et al.2023 · 32 citations
  71. Linear Connectivity Reveals Generalization Strategies ↗arXiv (Cornell University) · no summary yetJeevesh Juneja et al.2022 · 32 citations
  72. Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetJason Lee, Raphael Shu, Kyunghyun Cho2020 · 32 citations
  73. End-to-End Goal-Driven Web Navigation ↗arXiv (Cornell University) · no summary yetRodrigo Frassetto Nogueira, Kyunghyun Cho2016 · 32 citations
  74. Differences between human and machine perception in medical diagnosis ↗Scientific Reports · no summary yetTaro Makino et al.2020 · 31 citations
  75. Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks ↗arXiv (Cornell University) · no summary yetNan Wu et al.2022 · 29 citations
  76. A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation ↗Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yetMoin Nadeem et al.2020 · 29 citations
  77. Can Unconditional Language Models Recover Arbitrary Sentences? ↗arXiv (Cornell University) · no summary yetNishant Subramani, Samuel R. Bowman, Kyunghyun Cho2019 · 29 citations
  78. Neural Machine Translation ↗no summary yetMinh-Thang Luong, Kyunghyun Cho, Christopher D. Manning2016 · 28 citations
  79. NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions ↗arXiv:2502.13124 · no summary yetWeizhe Yuan et al.2025 · 26 citations
  80. Preference Learning Algorithms Do Not Learn Preference Rankings ↗neural information processing systems · no summary yetAngelica Chen et al.2024 · 26 citations
  81. Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMsarXiv:2305.14279 · Transactions on Machine Learning Research (2024)Angelica Chen, Jason Phang, Alicia Parrish, et al.2023 · 25 citations
  82. AbDiffuser: full-atom generation of in-vitro functioning antibodies ↗neural information processing systems · no summary yetKarolis Martinkus et al.2023 · 25 citations
  83. Context-Aware Learning for Neural Machine Translation ↗arXiv (Cornell University) · no summary yetSébastien Jean, Kyunghyun Cho2019 · 25 citations
  84. Neural Machine Translation for Cross-Lingual Pronoun Prediction ↗Proceedings of the Third Workshop on Discourse in Machine Translation · no summary yetSebastien Jean et al.2017 · 24 citations
  85. A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines ↗Lecture notes in computer science · no summary yetKyunghyun Cho et al.2013 · 24 citations
  86. Capacity, Bandwidth, and Compositionality in Emergent Language Learning ↗Adaptive Agents and Multi-Agents Systems · no summary yetCinjon Resnick et al.2020 · 23 citations
  87. Backplay: "Man muss immer umkehren" ↗arXiv (Cornell University) · no summary yetCinjon Resnick et al.2018 · 23 citations
  88. Iterative Neural Autoregressive Distribution Estimator (NADE-k) ↗arXiv (Cornell University) · no summary yetTapani Raiko et al.2014 · 23 citations
  89. Following Length Constraints in InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhe Yuan, Ilia Kulikov, Ping Yu, et al.2025 · 22 citations
  90. Multiple Physics Pretraining for Physical Surrogate Models ↗arXiv (Cornell University) · no summary yetMcCabe, Michael et al.2023 · 22 citations
  91. AlphaD3M: Machine Learning Pipeline Synthesis ↗Open Repository and Bibliography (University of Luxembourg) · no summary yetIddo Drori et al.2021 · 22 citations
  92. Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ↗arXiv (Cornell University) · no summary yetEthan Perez, Douwe Kiela, Kyunghyun Cho2021 · 22 citations
  93. Saliency-based Sequential Image Attention with Multiset Prediction ↗arXiv (Cornell University) · no summary yetSean Welleck et al.2017 · 21 citations
  94. PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗Genome biology · no summary yetClaudia Skok Gibbs et al.2024 · 20 citations
  95. Navigation-based candidate expansion and pretrained language models for citation recommendation ↗Scientometrics · no summary yetRodrigo Frassetto Nogueira et al.2020 · 20 citations
  96. A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetOwen Marschall, Kyunghyun Cho, Cristina Savin2019 · 20 citations
  97. Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetLifu Huang et al.2018 · 20 citations
  98. Two-layer contractive encodings for learning stable nonlinear features ↗Neural Networks · no summary yetHannes Schulz et al.2014 · 20 citations
  99. xVal: A Continuous Numerical Tokenization for Scientific Language Models ↗arXiv:2310.02989 · no summary yetSiavash Golkar et al.2023 · 19 citations
  100. Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models ↗arXiv (Cornell University) · no summary yetTianxing He et al.2019 · 19 citations

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