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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
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu, Xin Li 외 8명
arXiv (Cornell University)
|
2021
|
92 회 인용
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao, Xiao-Long Wang 외 2명
arXiv (Cornell University)
|
2020
|
92 회 인용
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Mohammad Taher Pilehvar, José Camacho-Collados
arXiv (Cornell University)
|
2018
|
92 회 인용
A geometric alternative to Nesterov's accelerated gradient descent
Sébastien Bubeck, Yin Tat Lee 외 1명
arXiv (Cornell University)
|
2015
|
91 회 인용
Adversarial Multi-task Learning for Text Classification
Pengfei Liu, Xipeng Qiu 외 1명
arXiv (Cornell University)
|
2017
|
91 회 인용
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens 외 7명
arXiv (Cornell University)
|
2019
|
91 회 인용
Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng 외 5명
arXiv (Cornell University)
|
2020
|
91 회 인용
An introduction to the Europe Media Monitor family of applications
Ralf Steinberger, Bruno Pouliquen 외 1명
arXiv (Cornell University)
|
2013
|
91 회 인용
Analysis of universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi 외 3명
arXiv (Cornell University)
|
2017
|
91 회 인용
Arguing for Decisions: A Qualitative Model of Decision Making
Blai Bonet, Héctor Geffner
arXiv (Cornell University)
|
2013
|
91 회 인용
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