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Kyunghyun Cho

NaturalProofs: Mathematical Theorem Proving in Natural Language


Mar 24, 2021
Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho

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Rissanen Data Analysis: Examining Dataset Characteristics via Description Length


Mar 05, 2021
Ethan Perez, Douwe Kiela, Kyunghyun Cho

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* Code at https://github.com/ethanjperez/rda along with a script to run RDA on your own dataset 
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Online hyperparameter optimization by real-time recurrent learning


Feb 15, 2021
Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho

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Self-Supervised Equivariant Scene Synthesis from Video


Feb 01, 2021
Cinjon Resnick, Or Litany, Cosmas Hei脽, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

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* arXiv admin note: text overlap with arXiv:2011.05787 
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Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization


Dec 28, 2020
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras

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* The last two authors contributed equally 
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A Study on the Autoregressive and non-Autoregressive Multi-label Learning


Dec 03, 2020
Elham J. Barezi, Iacer Calixto, Kyunghyun Cho, Pascale Fung


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Differences between human and machine perception in medical diagnosis


Nov 28, 2020
Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

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Learned Equivariant Rendering without Transformation Supervision


Nov 11, 2020
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

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* Workshop on Differentiable Vision, Graphics, and Physics in Machine Learning at NeurIPS 2020 
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Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning


Nov 01, 2020
Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi, Aitor Soroa, Gorka Azkune, Eneko Agirre

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* Accepted at COLING 2020. 11 pages, 5 figures 
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Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search


Oct 14, 2020
Gyuwan Kim, Kyunghyun Cho

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* 11 pages, 4 figures 
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Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule


Oct 08, 2020
Shuhei Kurita, Kyunghyun Cho

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* 13 pages, 8 figures 
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SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness


Oct 04, 2020
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi

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* 16 pages, 8 figures, to be published in EMNLP 2020 
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Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms


Sep 19, 2020
Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

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Evaluating representations by the complexity of learning low-loss predictors


Sep 15, 2020
William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho

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A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation


Sep 15, 2020
Moin Nadeem, Tianxing He, Kyunghyun Cho, James Glass

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* To appear at AACL 2020; 9 pages, 12 figures, 2 tables 
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Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation


Sep 15, 2020
Jason Lee, Raphael Shu, Kyunghyun Cho

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* Accepted to EMNLP 2020 
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A Framework For Contrastive Self-Supervised Learning And Designing A New Approach


Aug 31, 2020
William Falcon, Kyunghyun Cho

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VisualSem: a high-quality knowledge graph for vision and language


Aug 20, 2020
Houda Alberts, Teresa Huang, Yash Deshpande, Yibo Liu, Kyunghyun Cho, Clara Vania, Iacer Calixto

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* 11 pages, 5 figures, 6 tables 
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AdapterHub: A Framework for Adapting Transformers


Jul 15, 2020
Jonas Pfeiffer, Andreas R眉ckl茅, Clifton Poth, Aishwarya Kamath, Ivan Vuli膰, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych

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Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset


Jul 14, 2020
Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

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* arXiv admin note: text overlap with arXiv:2004.05125 
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MLE-guided parameter search for task loss minimization in neural sequence modeling


Jun 04, 2020
Sean Welleck, Kyunghyun Cho

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AdapterFusion: Non-Destructive Task Composition for Transfer Learning


May 01, 2020
Jonas Pfeiffer, Aishwarya Kamath, Andreas R眉ckl茅, Kyunghyun Cho, Iryna Gurevych

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Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings


Apr 29, 2020
Ant贸nio G贸is, Kyunghyun Cho, Andr茅 Martins

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* Accepted at EAMT 2020; dataset available here: https://github.com/antoniogois/keystrokes_ape 
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Learning to Learn Morphological Inflection for Resource-Poor Languages


Apr 28, 2020
Katharina Kann, Samuel R. Bowman, Kyunghyun Cho

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* AAAI 2020 
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Rapidly Bootstrapping a Question Answering Dataset for COVID-19


Apr 23, 2020
Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin

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Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned


Apr 10, 2020
Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin

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Asking and Answering Questions to Evaluate the Factual Consistency of Summaries


Apr 08, 2020
Alex Wang, Kyunghyun Cho, Mike Lewis

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* ACL 2020 
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