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KyungHyun Cho
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- affiliation: New York University, Courant Institute of Mathematical Sciences
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2020 – today
- 2023
[c162]Hongyi Zheng, Yixin Zhu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann:
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. ACL (student) 2023: 104-108- [c161]Zihao Yang, Chenkang Zhang, Muru Wu, Xujin Liu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann:
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. ACL (student) 2023: 109-118 - [c160]Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. ACL (1) 2023: 12067-12097 - [c159]Hyunjin Kim
, Jinyeong Bak, Kyunghyun Cho, Hyungjoon Koo:
A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing. AsiaCCS 2023: 951-965 - [c158]Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan K. Pritchard, Aviv Regev:
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling. CLeaR 2023: 662-691 - [c157]Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee:
A Non-monotonic Self-terminating Language Model. ICLR 2023 - [c156]Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra:
Linear Connectivity Reveals Generalization Strategies. ICLR 2023 - [c155]Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani:
Towards Understanding and Improving GFlowNet Training. ICML 2023: 30956-30975 - [e5]Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett:
International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Proceedings of Machine Learning Research 202, PMLR 2023 [contents] - [e4]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents] - [i228]Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. CoRR abs/2301.04327 (2023) - [i227]Cheolhyoung Lee, Kyunghyun Cho:
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy. CoRR abs/2302.04369 (2023) - [i226]Angelica Chen, Jérémy Scheurer, Tomasz Korbak, Jon Ander Campos, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez:
Improving Code Generation by Training with Natural Language Feedback. CoRR abs/2303.16749 (2023) - [i225]Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez:
Training Language Models with Language Feedback at Scale. CoRR abs/2303.16755 (2023) - [i224]Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath:
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR abs/2304.11053 (2023) - [i223]Max W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani:
Towards Understanding and Improving GFlowNet Training. CoRR abs/2305.07170 (2023) - [i222]Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho:
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs. CoRR abs/2305.14279 (2023) - [i221]Nate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hötzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson:
Protein Design with Guided Discrete Diffusion. CoRR abs/2305.20009 (2023) - [i220]Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho:
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. CoRR abs/2306.00344 (2023) - [i219]Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi:
Protein Discovery with Discrete Walk-Jump Sampling. CoRR abs/2306.12360 (2023) - [i218]Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra:
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR abs/2306.13276 (2023) - [i217]Weizhe Yuan, Kyunghyun Cho, Jason Weston:
System-Level Natural Language Feedback. CoRR abs/2306.13588 (2023) - [i216]Hongyi Zheng, Yixin Zhu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann:
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. CoRR abs/2307.07051 (2023) - [i215]Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho, He He, Jason Weston:
Leveraging Implicit Feedback from Deployment Data in Dialogue. CoRR abs/2307.14117 (2023) - [i214]Karolis Martinkus, Jan Ludwiczak, Kyunghyun Cho, Wei-Ching Liang, Julien Lafrance-Vanasse, Isidro Hötzel, Arvind Rajpal, Yan Wu, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas:
AbDiffuser: Full-Atom Generation of In-Vitro Functioning Antibodies. CoRR abs/2308.05027 (2023) - [i213]Cal Peyser, Zhong Meng, Ke Hu, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Improving Joint Speech-Text Representations Without Alignment. CoRR abs/2308.06125 (2023) - [i212]Sonia Castelo, João Rulff, Erin McGowan, Bea Steers, Guande Wu, Shaoyu Chen, Irán R. Román, Roque Lopez, Ethan Brewer, Chen Zhao, Jing Qian, Kyunghyun Cho, He He, Qi Sun, Huy T. Vo, Juan Pablo Bello, Michael Krone, Cláudio T. Silva:
ARGUS: Visualization of AI-Assisted Task Guidance in AR. CoRR abs/2308.06246 (2023) - [i211]Daniel Jiwoong Im, Kyunghyun Cho:
Active and Passive Causal Inference Learning. CoRR abs/2308.09248 (2023) - [i210]Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho:
Latent State Models of Training Dynamics. CoRR abs/2308.09543 (2023) - [i209]Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho:
Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR abs/2309.01670 (2023) - [i208]Angelica Chen, Ravid Schwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra:
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs. CoRR abs/2309.07311 (2023) - 2022
- [j27]Ren Yi, Kyunghyun Cho, Richard Bonneau:
NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction. Bioinform. 38(20): 4762-4770 (2022) - [c154]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - [c153]Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji:
Translation between Molecules and Natural Language. EMNLP 2022: 375-413 - [c152]Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh:
Translating Hanja Historical Documents to Contemporary Korean and English. EMNLP (Findings) 2022: 1260-1272 - [c151]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. ICLR 2022 - [c150]Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras:
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. ICML 2022: 24043-24055 - [c149]Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho:
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. AACL/IJCNLP (1) 2022: 1115-1124 - [c148]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. INTERSPEECH 2022: 3603-3607 - [c147]Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh:
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. NAACL-HLT (Findings) 2022: 1832-1844 - [c146]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:
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. NAACL-HLT 2022: 5168-5186 - [c145]Taro Makino, Krzysztof J. Geras, Kyunghyun Cho:
Generative multitask learning mitigates target-causing confounding. NeurIPS 2022 - [c144]Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. SLT 2022: 245-251 - [e3]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i207]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR abs/2202.03651 (2022) - [i206]Taro Makino, Krzysztof J. Geras, Kyunghyun Cho:
Generative multitask learning mitigates target-causing confounding. CoRR abs/2202.04136 (2022) - [i205]Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras:
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks. CoRR abs/2202.05306 (2022) - [i204]Vlad Sobal, Alfredo Canziani, Nicolas Carion, Kyunghyun Cho, Yann LeCun:
Separating the World and Ego Models for Self-Driving. CoRR abs/2204.07184 (2022) - [i203]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:
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. CoRR abs/2204.13509 (2022) - [i202]Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez:
Learning from Natural Language Feedback. CoRR abs/2204.14146 (2022) - [i201]Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho:
Multi-segment preserving sampling for deep manifold sampler. CoRR abs/2205.04259 (2022) - [i200]Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh:
Translating Hanja historical documents to understandable Korean and English. CoRR abs/2205.10019 (2022) - [i199]Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra:
Linear Connectivity Reveals Generalization Strategies. CoRR abs/2205.12411 (2022) - [i198]Ningyuan Huang, Yash R. Deshpande, Yibo Liu, Houda Alberts, Kyunghyun Cho, Clara Vania, Iacer Calixto:
Endowing Language Models with Multimodal Knowledge Graph Representations. CoRR abs/2206.13163 (2022) - [i197]Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi:
Predicting Out-of-Domain Generalization with Local Manifold Smoothness. CoRR abs/2207.02093 (2022) - [i196]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. CoRR abs/2208.13191 (2022) - [i195]Eugene Choi, Cheolhyoung Lee, Kyunghyun Cho:
A Non-monotonic Self-terminating Language Model. CoRR abs/2210.00660 (2022) - [i194]Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho:
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design. CoRR abs/2210.04096 (2022) - [i193]Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh:
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. CoRR abs/2210.05112 (2022) - [i192]Natasa Tagasovska, Nathan C. Frey, Andreas Loukas, Isidro Hötzel, Julien Lafrance-Vanasse, Ryan Lewis Kelly, Yan Wu, Arvind Rajpal, Richard Bonneau, Kyunghyun Cho, Stephen Ra, Vladimir Gligorijevic:
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences. CoRR abs/2210.10838 (2022) - [i191]Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan K. Pritchard, Aviv Regev:
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling. CoRR abs/2211.03553 (2022) - [i190]Grace Yang, Ming Cao, Lavender Y. Jiang, Xujin C. Liu, Alexander T. M. Cheung, Hannah Weiss, David Kurland, Kyunghyun Cho, Eric K. Oermann:
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction. CoRR abs/2211.07047 (2022) - [i189]Vlad Sobal, Jyothir S. V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann LeCun:
Joint Embedding Predictive Architectures Focus on Slow Features. CoRR abs/2211.10831 (2022) - [i188]Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. CoRR abs/2212.10020 (2022) - [i187]Sang-Woo Lee, Sungdong Kim, Donghyeon Ko, Donghoon Ham, Youngki Hong, Shin Ah Oh, Hyunhoon Jung, Wangkyo Jung, Kyunghyun Cho, Dong-Hyun Kwak, Hyungsuk Noh, Woo-Myoung Park:
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? CoRR abs/2212.10504 (2022) - 2021
- [j26]Meet Barot, Vladimir Gligorijevic, Kyunghyun Cho, Richard Bonneau:
NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity. Bioinform. 37(16): 2414-2422 (2021) - [j25]Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras:
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging 34(6): 1414-1423 (2021) - [j24]Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. 68: 101908 (2021) - [j23]Andreas Tjärnberg, Omar Mahmood, Christopher A. Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel A. Christiaen, Richard A. Bonneau:
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data. PLoS Comput. Biol. 17(1) (2021) - [c143]Sean Welleck, Kyunghyun Cho:
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling. AAAI 2021: 14032-14040 - [c142]Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. ACL/IJCNLP (1) 2021: 1141-1158 - [c141]Gyuwan Kim, Kyunghyun Cho:
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search. ACL/IJCNLP (1) 2021: 6501-6511 - [c140]Ilia Kulikov, Sean Welleck, Kyunghyun Cho:
Mode recovery in neural autoregressive sequence modeling. SPNLP@ACL-IJCNLP 2021: 44-52 - [c139]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL 2021: 487-503 - [c138]Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng:
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. EACL 2021: 1121-1133 - [c137]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. EMNLP (1) 2021: 5203-5215 - [c136]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal BERT: Improving object detection by searching for challenging groups. ICCVW 2021: 2972-2981 - [c135]Shuhei Kurita, Kyunghyun Cho:
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule. ICLR 2021 - [c134]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML 2021: 4772-4784 - [c133]Ethan Perez, Douwe Kiela, Kyunghyun Cho:
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length. ICML 2021: 8500-8513 - [c132]Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Youngsook Song, Tae Hwan 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, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho:
KLUE: Korean Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c131]Ethan Perez, Douwe Kiela, Kyunghyun Cho:
True Few-Shot Learning with Language Models. NeurIPS 2021: 11054-11070 - [c130]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. NeurIPS Datasets and Benchmarks 2021 - [c129]Hyojung Han, Seokchan Ahn, Yoonjung Choi, Insoo Chung, Sangha Kim, Kyunghyun Cho:
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement. WMT@EMNLP 2021: 1110-1123 - [i186]Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Self-Supervised Equivariant Scene Synthesis from Video. CoRR abs/2102.00863 (2021) - [i185]Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho:
Online hyperparameter optimization by real-time recurrent learning. CoRR abs/2102.07813 (2021) - [i184]Ethan Perez, Douwe Kiela, Kyunghyun Cho:
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length. CoRR abs/2103.03872 (2021) - [i183]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. CoRR abs/2104.01112 (2021) - [i182]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. CoRR abs/2104.06344 (2021) - [i181]Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Tae Hwan 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, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho:
KLUE: Korean Language Understanding Evaluation. CoRR abs/2105.09680 (2021) - [i180]Ethan Perez, Douwe Kiela, Kyunghyun Cho:
True Few-Shot Learning with Language Models. CoRR abs/2105.11447 (2021) - [i179]Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. CoRR abs/2106.00840 (2021) - [i178]Ilia Kulikov, Sean Welleck, Kyunghyun Cho:
Mode recovery in neural autoregressive sequence modeling. CoRR abs/2106.05459 (2021) - [i177]William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho:
AAVAE: Augmentation-Augmented Variational Autoencoders. CoRR abs/2107.12329 (2021) - [i176]Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras:
Meta-repository of screening mammography classifiers. CoRR abs/2108.04800 (2021) - [i175]Tianxing He, Kyunghyun Cho, James R. Glass:
An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models. CoRR abs/2109.02772 (2021) - [i174]Annika Brundyn, Jesse Swanson, Kyunghyun Cho, Doug Kondziolka, Eric K. Oermann:
Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery. CoRR abs/2109.08227 (2021) - [i173]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. CoRR abs/2109.09888 (2021) - [i172]Hyojung Han, Seokchan Ahn, Yoonjung Choi, Insoo Chung, Sangha Kim, Kyunghyun Cho:
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement. CoRR abs/2110.09646 (2021) - [i171]Iddo Drori, Yamuna Krishnamurthy, Rémi Rampin, Raoni de Paula Lourenço, Jorge Piazentin Ono, Kyunghyun Cho, Cláudio T. Silva, Juliana Freire:
AlphaD3M: Machine Learning Pipeline Synthesis. CoRR abs/2111.02508 (2021) - [i170]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. CoRR abs/2111.07393 (2021) - [i169]Daniel Jiwoong Im, Kyunghyun Cho, Narges Razavian:
Causal Effect Variational Autoencoder with Uniform Treatment. CoRR abs/2111.08656 (2021) - [i168]Richard Yuanzhe Pang, He He, Kyunghyun Cho:
Amortized Noisy Channel Neural Machine Translation. CoRR abs/2112.08670 (2021) - [i167]Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho:
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. CoRR abs/2112.08914 (2021) - [i166]Yekyung Kim, Seohyeong Jeong, Kyunghyun Cho:
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing. CoRR abs/2112.13969 (2021) - 2020
- [j22]Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho:
Classifier-agnostic saliency map extraction. Comput. Vis. Image Underst. 196: 102969 (2020) - [j21]Owen Marschall, Kyunghyun Cho, Cristina Savin:
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks. J. Mach. Learn. Res. 21: 135:1-135:34 (2020) - [j20]John E. Ortega, Richard Castro Mamani, Kyunghyun Cho:
Neural machine translation with a polysynthetic low resource language. Mach. Transl. 34(4): 325-346 (2020) - [j19]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Navigation-based candidate expansion and pretrained language models for citation recommendation. Scientometrics 125(3): 3001-3016 (2020) - [j18]Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging 39(4): 1184-1194 (2020) - [c128]Katharina Kann, Samuel R. Bowman, Kyunghyun Cho:
Learning to Learn Morphological Inflection for Resource-Poor Languages. AAAI 2020: 8058-8065 - [c127]Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho:
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. AAAI 2020: 8846-8853 - [c126]