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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
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese, Nat McAleese 외 32명
arXiv (Cornell University)
|
2022
|
131 회 인용
Interpreting Blackbox Models via Model Extraction
Osbert Bastani, Carolyn Kim 외 1명
arXiv (Cornell University)
|
2017
|
131 회 인용
Learn to Combine Modalities in Multimodal Deep Learning
Kuan Liu, Yanen Li 외 2명
arXiv (Cornell University)
|
2018
|
131 회 인용
Likely to stop? Predicting Stopout in Massive Open Online Courses
Colin Taylor, Kalyan Veeramachaneni 외 1명
arXiv (Cornell University)
|
2014
|
131 회 인용
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
Qiqi Xiao, Hao Luo 외 1명
arXiv (Cornell University)
|
2017
|
131 회 인용
No More Pesky Learning Rate Guessing Games.
Leslie N. Smith
arXiv (Cornell University)
|
2015
|
131 회 인용
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Greg Yang 외 5명
arXiv (Cornell University)
|
2019
|
131 회 인용
Securify: Practical Security Analysis of Smart Contracts
Petar Tsankov, Andrei Dan 외 4명
arXiv (Cornell University)
|
2018
|
131 회 인용
Self-supervised Learning of Motion Capture
Hsiao-Yu Fish Tung, Hsiao-Wei Tung 외 2명
arXiv (Cornell University)
|
2017
|
131 회 인용
Semantics and Conversations for an Agent Communication Language
Yannis Labrou, Tim Finin
ArXiv.org
|
1998
|
131 회 인용
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