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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
Self-supervised Co-training for Video Representation Learning
Tengda Han, Weidi Xie 외 1명
arXiv (Cornell University)
|
2020
|
273 회 인용
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava, Lazar Valkov 외 3명
arXiv (Cornell University)
|
2017
|
273 회 인용
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega, M. Boschini 외 3명
arXiv (Cornell University)
|
2020
|
272 회 인용
Deep Gaussian Processes
Andreas Damianou, Neil D. Lawrence
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
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2012
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272 회 인용
Face Expression Recognition and Analysis: The State of the Art
Vinay Bettadapura
arXiv (Cornell University)
|
2012
|
272 회 인용
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks, Collin Burns 외 6명
arXiv (Cornell University)
|
2021
|
272 회 인용
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng, Ying Wen 외 5명
arXiv (Cornell University)
|
2017
|
272 회 인용
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov, Nathan Fenner 외 1명
arXiv (Cornell University)
|
2018
|
271 회 인용
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Hao Wang, Yitong Wang 외 6명
arXiv (Cornell University)
|
2018
|
271 회 인용
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov, Archit Sharma 외 4명
arXiv (Cornell University)
|
2023
|
271 회 인용
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