Kyunghyun Cho

Associate Professor

Computer Science Department, New York University/Center for Data Science, New York University

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Machine learning, natural languages, machine translation, artificial intelligence

Papers310 papers

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Self-Supervised Equivariant Scene Synthesis from Video

Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna,Kyunghyun Cho

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Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule

Shuhei Kurita,Kyunghyun Cho

ICLR 2021, (2021)

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Shen Yiqiu, Wu Nan,Phang Jason, Park Jungkyu, Liu Kangning, Tyagi Sudarshini,Heacock Laura, Kim S. Gene,Moy Linda,Cho Kyunghyun,Geras Krzysztof J.

Medical Image Anal., (2021): 101908

WOSEIBibtex

NetQuilt: Deep Multispecies Network-based Protein Function Prediction using Homology-informed Network Similarity

Meet Barot,Vladimir Gligorijević,Kyunghyun Cho,Richard Bonneau

Bioinformatics (Oxford, England), pp.1-25, (2021)

WOSBibtex

Online hyperparameter optimization by real-time recurrent learning

Daniel Jiwoong Im, Cristina Savin,Kyunghyun Cho

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Neural machine translation with a polysynthetic low resource language

John E. Ortega, Richard Castro Mamani,Kyunghyun Cho

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Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior

Raphael Shu, Jason Lee,Hideki Nakayama,Kyunghyun Cho

national conference on artificial intelligence, (2020)

Cited by4Bibtex

Learning to Learn Morphological Inflection for Resource-Poor Languages

Katharina Kann,Samuel Bowman,Kyunghyun Cho

national conference on artificial intelligence, (2020)

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Neural Machine Translation with Byte-Level Subwords

Changhan Wang,Kyunghyun Cho,Jiatao Gu

national conference on artificial intelligence, (2020)

Cited by2Bibtex

Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation

Jimin Tan, Bofei Zhang,Kyunghyun Cho, Gregory Chang, Cem M. Deniz

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The Break-Even Point on the Optimization Trajectories of Deep Neural Networks

Stanislaw Jastrzebski, Maciej Szymczak,Stanislav Fort,Devansh Arpit,Jacek Tabor,Kyunghyun Cho,Krzysztof Geras

ICLR, (2020)

Cited by1EIBibtex

Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models

Cheolhyoung Lee,Kyunghyun Cho, Wanmo Kang

ICLR, (2020)

EIBibtex

Rapidly Bootstrapping a Question Answering Dataset for COVID-19

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

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On the Discrepancy between Density Estimation and Sequence Generation

Jason Lee,Dustin Tran,Orhan Firat,Kyunghyun Cho

Proceedings of the Fourth Workshop on Structured Prediction for NLP, pp.84-94, (2020)

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Dynamics-Aware Embeddings

William Whitney, Rajat Agarwal,Kyunghyun Cho,Abhinav Gupta

ICLR, (2020)

Cited by2EIBibtex

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

António Góis,Kyunghyun Cho,André F. T. Martins

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pp.205-214, (2020)

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Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening

Nan Wu,Stanislaw Jastrzebski, Jungkyu Park,Linda Moy,Kyunghyun Cho,Krzysztof J. Geras

MIDL, pp.827-842, (2020)

EIBibtex

Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation

Sébastien Jean,Kyunghyun Cho

SPNLP@EMNLP, pp.95-101, (2020)

EIBibtex

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization

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

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A Study on the Autoregressive and non-Autoregressive Multi-label Learning

Elham J. Barezi, Iacer Calixto,Kyunghyun Cho,Pascale Fung

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