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Kyunghyun Cho — all works

483 works · page 3 of 5 · 201–300 · ← Kyunghyun Cho

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  1. First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetNaomi Saphra et al.2024 · 18 citations
  2. Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar ↗arXiv (Cornell University) · no summary yetIddo Drori et al.2019 · 18 citations
  3. Advancing GraphSAGE with A Data-Driven Node Sampling ↗arXiv (Cornell University) · no summary yetJihun Oh, Kyunghyun Cho, Joan Bruna2019 · 18 citations
  4. Dynamics-aware Embeddings ↗arXiv (Cornell University) · no summary yetWhitney, William et al.2019 · 18 citations
  5. Classifier-agnostic saliency map extraction ↗Computer Vision and Image Understanding · no summary yetKonrad Żołna, Krzysztof J. Geras, Kyunghyun Cho2018 · 18 citations
  6. Graph Convolutional Networks for Classification with a Structured Label Space ↗arXiv (Cornell University) · no summary yetChen, Meihao, Lin, Zhuoru, Kyunghyun Cho2017 · 18 citations
  7. Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks ↗Frontiers in Neuroscience · no summary yetR Devon Hjelm et al.2016 · 18 citations
  8. Loss Functions for Multiset Prediction ↗arXiv (Cornell University) · no summary yetSean Welleck et al.2017 · 17 citations
  9. Boltzmann Machines for Image Denoising ↗Lecture notes in computer science · no summary yetKyunghyun Cho2013 · 17 citations
  10. Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ↗arXiv (Cornell University) · no summary yetStanisław Jastrzȩbski et al.2020 · 16 citations
  11. Controlling Decoding for More Abstractive Summaries with Copy-Based Networks ↗arXiv (Cornell University) · no summary yetNoah Weber et al.2018 · 16 citations
  12. Bounding the Test Log-Likelihood of Generative Models ↗arXiv (Cornell University) · no summary yetYoshua Bengio, Yao, Li, Kyunghyun Cho2013 · 16 citations
  13. On the Discrepancy between Density Estimation and Sequence Generation ↗Proceedings of the Fourth Workshop on Structured Prediction for NLP · no summary yetJason Lee et al.2020 · 15 citations
  14. Tikhonov-Type Regularization for Restricted Boltzmann Machines ↗Lecture notes in computer science · no summary yetKyunghyun Cho, Alexander Ilin, Tapani Raiko2012 · 15 citations
  15. Multiple Physics Pretraining for Spatiotemporal Surrogate Models ↗neural information processing systems · no summary yetMichael McCabe et al.2024 · 14 citations
  16. Learning to Learn Morphological Inflection for Resource-Poor Languages ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetKatharina Kann, Samuel R. Bowman, Kyunghyun Cho2020 · 14 citations
  17. Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ↗arXiv (Cornell University) · no summary yetShuhei Kurita, Kyunghyun Cho2020 · 14 citations
  18. Endowing Language Models with Multimodal Knowledge Graph Representations ↗arXiv (Cornell University) · no summary yetNingyuan Teresa Huang et al.2022 · 13 citations
  19. Translating Hanja Historical Documents to Contemporary Korean and English ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetJuhee Son et al.2022 · 13 citations
  20. Evaluating representations by the complexity of learning low-loss predictors ↗arXiv (Cornell University) · no summary yetWhitney, William F. et al.2020 · 13 citations
  21. Aioli: A Unified Optimization Framework for Language Model Data Mixing ↗arXiv (Cornell University) · no summary yetMayee F. Chen et al.2024 · 12 citations
  22. Leveraging Implicit Feedback from Deployment Data in Dialogue ↗Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetRichard Yuanzhe Pang et al.2024 · 12 citations
  23. HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetHaneul Yoo et al.2022 · 12 citations
  24. LINDA: Unsupervised Learning to Interpolate in Natural Language Processing ↗arXiv (Cornell University) · no summary yetYekyung Kim, Seohyeong Jeong, Kyunghyun Cho2021 · 12 citations
  25. Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms ↗Journal of Imaging Informatics in Medicine · no summary yetNan Wu et al.2021 · 12 citations
  26. Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetJon Ander Campos et al.2020 · 12 citations
  27. Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetRujun Han et al.2018 · 12 citations
  28. NYU-MILA Neural Machine Translation Systems for WMT'16 ↗Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers · no summary yetJunyoung Chung, Kyunghyun Cho, Yoshua Bengio2016 · 12 citations
  29. Advances in Independent Component Analysis and Learning Machines ↗no summary yetJuha Karhunen, Tapani Raiko, Kyunghyun Cho2015 · 12 citations
  30. The International Conference on Artificial Neural Networks (ICANN 2011) ↗no summary yetKyunghyun Cho, Alexander Ilin, Tapani Raiko2011 · 12 citations
  31. Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetNicholas Lourie, Michael Y. Hu, Kyunghyun Cho2025 · 11 citations
  32. MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSean Welleck, Kyunghyun Cho2021 · 11 citations
  33. Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples ↗arXiv (Cornell University) · no summary yetJake Zhao, Kyunghyun Cho2018 · 11 citations
  34. An Overview of Large Language Models for Statisticians ↗arXiv:2502.17814 · no summary yetWenlong Ji et al.2025 · 10 citations
  35. Protein Discovery with Discrete Walk-Jump Sampling ↗arXiv (Cornell University) · no summary yetNathan C. Frey et al.2023 · 10 citations
  36. Improving localization-based approaches for breast cancer screening exam classification ↗arXiv (Cornell University) · no summary yetThibault Févry et al.2019 · 10 citations
  37. Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJake Zhao, Kyunghyun Cho2019 · 10 citations
  38. Iterative Refinement of the Approximate Posterior for Directed Belief Networks ↗arXiv (Cornell University) · no summary yetR Devon Hjelm et al.2015 · 10 citations
  39. On the Equivalence between Deep NADE and Generative Stochastic Networks ↗Lecture notes in computer science · no summary yetLi Yao et al.2014 · 10 citations
  40. Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetSami Keronen et al.2013 · 10 citations
  41. Walrus: A Cross-Domain Foundation Model for Continuum Dynamics ↗arXiv (Cornell University) · no summary yetMcCabe, Michael et al.2025 · 9 citations
  42. The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review ↗Journal of the American Statistical Association · no summary yetBuxin Su et al.2025 · 9 citations
  43. Characterization of tumour heterogeneity through segmentation-free representation learning on multiplexed imaging data ↗Nature Biomedical Engineering · no summary yetJimin Tan et al.2025 · 9 citations
  44. Non-convolutional graph neural networks. ↗neural information processing systems · no summary yetYuanqing Wang, Kyunghyun Cho2024 · 9 citations
  45. Amortized Noisy Channel Neural Machine Translation ↗Proceedings of the 15th International Conference on Natural Language Generation · no summary yetRichard Yuanzhe Pang, He He, Kyunghyun Cho2022 · 9 citations
  46. An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models ↗arXiv (Cornell University) · no summary yetTianxing He, Kyunghyun Cho, James Glass2021 · 9 citations
  47. Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation ↗Proceedings of the Fourth Workshop on Structured Prediction for NLP · no summary yetSébastien Jean, Kyunghyun Cho2020 · 9 citations
  48. System-Level Natural Language Feedback ↗Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWeizhe Yuan, Kyunghyun Cho, Jason Weston2024 · 8 citations
  49. PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design ↗arXiv (Cornell University) · no summary yetJi Won Park et al.2022 · 8 citations
  50. A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences ↗arXiv (Cornell University) · no summary yetNataša Tagasovska et al.2022 · 8 citations
  51. Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement ↗Proceedings of the Sixth Conference on Machine Translation · no summary yetHyoJung Han et al.2021 · 8 citations
  52. Causal BERT: Improving object detection by searching for challenging groups ↗IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yetCinjon Resnick et al.2021 · 8 citations
  53. Compositionality and Capacity in Emergent Languages ↗Proceedings of the 5th Workshop on Representation Learning for NLP · no summary yetAbhinav Gupta et al.2020 · 8 citations
  54. Pommerman: A Multi-Agent Playground ↗arXiv (Cornell University) · no summary yetCinjon Resnick et al.2018 · 8 citations
  55. Attention-based mixture density recurrent networks for history-based recommendation ↗arXiv:1709.07545 · no summary yetTian Wang, Kyunghyun Cho, Musen Wen2017 · 8 citations
  56. A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation ↗Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers · no summary yetAmrita Saha et al.2016 · 8 citations
  57. Latent State Models of Training Dynamics ↗arXiv (Cornell University) · no summary yetMichael Y. Hu et al.2023 · 7 citations
  58. Towards Disentangled Speech Representations ↗Interspeech (USB) · no summary yetCal Peyser et al.2022 · 7 citations
  59. Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings ↗Proceedings of the 22nd Annual Conference of the European Association for Machine Translation · no summary yetAntónio Góis, Kyunghyun Cho, André Martins2020 · 7 citations
  60. Evaluating pretrained transformer models for citation recommendation ↗no summary yetRodrigo Frassetto Nogueira et al.2020 · 7 citations
  61. Deep Unsupervised Drum Transcription ↗Zenodo (CERN European Organization for Nuclear Research) · no summary yetKeunwoo Choi, Kyunghyun Cho2019 · 7 citations
  62. Neural Unsupervised Parsing Beyond English ↗Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) · no summary yetKatharina Kann et al.2019 · 7 citations
  63. Boundary Seeking GANs ↗International Conference on Learning Representations · no summary yetR Devon Hjelm et al.2018 · 7 citations
  64. From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17,042) ↗DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yetPhil Blunsom et al.2017 · 7 citations
  65. An iterative algorithm for singular value decomposition on noisy incomplete matrices ↗2022 International Joint Conference on Neural Networks (IJCNN) · no summary yetKyunghyun Cho, Nima Reyhani2012 · 7 citations
  66. Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation ↗arXiv (Cornell University) · no summary yetSungmin Cha, Kyunghyun Cho2025 · 6 citations
  67. MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control ↗arXiv (Cornell University) · no summary yetYeonji Lee et al.2024 · 6 citations
  68. Controllable All-Atom Protein Generation with Latent Diffusion ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetAmy X. Lu et al.2024 · 6 citations
  69. Generative Multitask Learning Mitigates Target-Causing Confounding ↗neural information processing systems · no summary yetTaro Makino, Krzysztof Geras, Kyunghyun Cho2022 · 6 citations
  70. Total Knee Replacement prediction using Structural MRIs and 3D Convolutional Neural Networks ↗no summary yetTianyu Wang et al.2019 · 6 citations
  71. Learning with Reflective Likelihoods ↗no summary yetAdji Bousso Dieng et al.2018 · 6 citations
  72. Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning ↗arXiv (Cornell University) · no summary yetCheolhyoung Lee, Kyunghyun Cho, Wanmo Kang2018 · 6 citations
  73. Empirical performance upper bounds for image and video captioning ↗arXiv (Cornell University) · no summary yetLi Yao et al.2015 · 6 citations
  74. Learned-norm pooling for deep neural networks. ↗arXiv (Cornell University) · no summary yetÇağlar Gülçehre et al.2013 · 6 citations
  75. The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetArtem Kirsanov et al.2025 · 5 citations
  76. Concept Bottleneck Language Models For protein design ↗arXiv (Cornell University) · no summary yetAya Abdelsalam Ismail et al.2024 · 5 citations
  77. Perspectives on the State and Future of Deep Learning - 2023 ↗arXiv (Cornell University) · no summary yetMicah Goldblum et al.2023 · 5 citations
  78. Predicting Out-of-Domain Generalization with Neighborhood Invariance ↗arXiv (Cornell University) · no summary yetNg, Nathan et al.2022 · 5 citations
  79. Joint Embedding Predictive Architectures Focus on Slow Features ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2022 · 5 citations
  80. Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction ↗arXiv (Cornell University) · no summary yetGrace Yang et al.2022 · 5 citations
  81. Causal Effect Variational Autoencoder with Uniform Treatment ↗arXiv (Cornell University) · no summary yetDaniel Jiwoong Im, Kyunghyun Cho, Narges Razavian2021 · 5 citations
  82. Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. ↗PubMed · no summary yetNan Wu et al.2020 · 5 citations
  83. Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning ↗no summary yetYun Chen et al.2018 · 5 citations
  84. Simple Nearest Neighbor Policy Method for Continuous Control Tasks ↗no summary yetElman Mansimov, Kyunghyun Cho2018 · 5 citations
  85. Towards Music Captioning: Generating Music Playlist Descriptions ↗arXiv (Cornell University) · no summary yetKeunwoo Choi et al.2016 · 5 citations
  86. Understanding Dropout: Training Multi-Layer Perceptrons with Auxiliary Independent Stochastic Neurons ↗Lecture notes in computer science · no summary yetKyunghyun Cho2013 · 5 citations
  87. Supervised Contrastive Block Disentanglement ↗arXiv (Cornell University) · no summary yetTaro Makino et al.2025 · 4 citations
  88. MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI ↗Radiology Artificial Intelligence · no summary yetChaojie Zhang et al.2025 · 4 citations
  89. Hyperparameters in Continual Learning: A Reality Check ↗arXiv (Cornell University) · no summary yetSungmin Cha, Kyunghyun Cho2024 · 4 citations
  90. Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks ↗arXiv (Cornell University) · no summary yetAngelica Chen et al.2024 · 4 citations
  91. Cramming Protein Language Model Training in 24 GPU Hours ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetNathan C. Frey et al.2024 · 4 citations
  92. Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning ↗neural information processing systems · no summary yetDivyam Madaan et al.2024 · 4 citations
  93. BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ↗arXiv (Cornell University) · no summary yetJi Won Park et al.2023 · 4 citations
  94. Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yetHongyi Zheng et al.2023 · 4 citations
  95. Multi-segment preserving sampling for deep manifold sampler ↗arXiv (Cornell University) · no summary yetDaniel Berenberg et al.2022 · 4 citations
  96. Meta-Repository of Screening Mammography Classifiers ↗Studies in health technology and informatics · no summary yetJakub Chłędowski et al.2021 · 4 citations
  97. Inducing Constituency Trees through Neural Machine Translation ↗arXiv:1909.10056 · no summary yetPhu Mon Htut, Kyunghyun Cho, Samuel R. Bowman2019 · 4 citations
  98. The International Conference on Neural Information Processing - ICONIP 2013 ↗no summary yetHannes Schulz et al.2013 · 4 citations
  99. A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis ↗Signal Image and Video Processing · no summary yetHaresh Rengaraj Rajamohan et al.2025 · 3 citations
  100. HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja ↗arXiv (Cornell University) · no summary yetSong, Seyoung et al.2025 · 3 citations

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