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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song, Xu Tan 외 3명
arXiv (Cornell University)
|
2019
|
580 회 인용
On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye 외 7명
arXiv (Cornell University)
|
2019
|
580 회 인용
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad, Sharan Sankar 외 3명
arXiv (Cornell University)
|
2017
|
580 회 인용
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur‐Martineau
arXiv (Cornell University)
|
2018
|
580 회 인용
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren, Wenyuan Zeng 외 2명
arXiv (Cornell University)
|
2018
|
579 회 인용
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
Fartash Faghri, David J. Fleet 외 2명
arXiv (Cornell University)
|
2017
|
579 회 인용
Achieving Human Parity on Automatic Chinese to English News Translation
Hany Hassan, Anthony Aue 외 22명
arXiv (Cornell University)
|
2018
|
578 회 인용
Deep Bayesian Active Learning with Image Data
Yarin Gal, Riashat Islam 외 1명
arXiv (Cornell University)
|
2017
|
577 회 인용
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Nitish Shirish Keskar, Dheevatsa Mudigere 외 3명
arXiv (Cornell University)
|
2016
|
577 회 인용
Advances in domain independent linear text segmentation
Freddy Y. Y. Choi
ArXiv.org
|
2000
|
576 회 인용
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