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An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models

Sep 06, 2021
Tianxing He, Kyunghyun Cho, James Glass

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Meta-repository of screening mammography classifiers

Aug 10, 2021
Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chłędowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras

* 16 pages, 2 figures. Meta-repository available at 

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AAVAE: Augmentation-Augmented Variational Autoencoders

Jul 26, 2021
William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho

* 15 pages, 4 figures, 1 table 

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KLUE: Korean Language Understanding Evaluation

Jun 11, 2021
Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Taehwan 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, Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho

* 76 pages, 10 figures, 36 tables 

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Mode recovery in neural autoregressive sequence modeling

Jun 10, 2021
Ilia Kulikov, Sean Welleck, Kyunghyun Cho

* ACL-IJCNLP 2021 5th Workshop on Structured Prediction for NLP 

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Comparing Test Sets with Item Response Theory

Jun 01, 2021
Clara Vania, Phu Mon Htut, William Huang, Dhara Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman

* ACL 2021 

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True Few-Shot Learning with Language Models

May 24, 2021
Ethan Perez, Douwe Kiela, Kyunghyun Cho

* Code at 

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Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction

Apr 15, 2021
Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare Voss

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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

* Code at 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 Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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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