K
Kyunghyun Cho
Researcher at New York University
Publications - 351
Citations - 116609
Kyunghyun Cho is an academic researcher from New York University. The author has contributed to research in topics: Machine translation & Recurrent neural network. The author has an hindex of 77, co-authored 316 publications receiving 94919 citations. Previous affiliations of Kyunghyun Cho include Facebook & Université de Montréal.
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Proceedings ArticleDOI
Augmentation for small object detection
TL;DR: This research project is about the importance of manual and exploratory testing in industry when the project is under develop stage.
Posted Content
Multi-Stage Document Ranking with BERT.
TL;DR: This work proposes two variants of BERT, called monoBERT and duoBERT, that formulate the ranking problem as pointwise and pairwise classification, respectively, arranged in a multi-stage ranking architecture to form an end-to-end search system.
Posted Content
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
Yijun Xiao,Kyunghyun Cho +1 more
TL;DR: A neural network architecture that utilizes both convolution and recurrent layers to efficiently encode character inputs is proposed and validated on eight large scale document classification tasks and compared with character-level convolution-only models.
Journal ArticleDOI
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter,Diana S. M. Buist,Christoph I. Lee,Yaroslav Nikulin,Dezső Ribli,Yuanfang Guan,William Lotter,Zequn Jie,Hao Du,Sijia Wang,Jiashi Feng,Mengling Feng,Hyo-Eun Kim,F. Albiol,Alberto Albiol,Stephen Morrell,Zbigniew Wojna,Mehmet Eren Ahsen,Umar Asif,Antonio Jimeno Yepes,Shivanthan A.C. Yohanandan,Simona Rabinovici-Cohen,Darvin Yi,Bruce Hoff,Thomas Yu,Elias Chaibub Neto,Daniel L. Rubin,Peter Lindholm,Laurie R. Margolies,Russell B. McBride,Joseph H. Rothstein,Weiva Sieh,Rami Ben-Ari,Stefan Harrer,Andrew D. Trister,Stephen H. Friend,Thea Norman,Berkman Sahiner,Fredrik Strand,Fredrik Strand,Justin Guinney,Gustavo Stolovitzky,Lester Mackey,Joyce Cahoon,Li Shen,Jae Ho Sohn,Hari Trivedi,Yiqiu Shen,Ljubomir Buturovic,Jose Costa Pereira,Jaime S. Cardoso,Eduardo Castro,Karl Trygve Kalleberg,Obioma Pelka,Imane Nedjar,Krzysztof J. Geras,Felix Nensa,Ethan Goan,Sven Koitka,Sven Koitka,Luis Caballero,David D. Cox,Pavitra Krishnaswamy,Gaurav Pandey,Christoph M. Friedrich,Dimitri Perrin,Clinton Fookes,Bibo Shi,Gerard Cardoso Negrie,Michael Kawczynski,Kyunghyun Cho,Can Son Khoo,Joseph Y. Lo,A. Gregory Sorensen,Hwejin Jung +74 more
TL;DR: This diagnostic accuracy study evaluates whether artificial intelligence can overcome human mammography interpretation limits with a rigorous, unbiased evaluation of machine learning algorithms.
Proceedings ArticleDOI
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
TL;DR: The authors proposed a finetuning algorithm for the recently introduced multi-way, mulitlingual NMT model that enables zero-resource machine translation, and empirically showed that the finetuned model can translate a zero resource language pair as well as a single-pair neural translation model trained with up to 1M direct parallel sentences.