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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
Please Stop Explaining Black Box Models for High Stakes Decisions.
Cynthia Rudin
arXiv (Cornell University)
|
2018
|
140 회 인용
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held 외 3명
arXiv (Cornell University)
|
2017
|
140 회 인용
Scaling Nakamoto Consensus to Thousands of Transactions per Second
Chenxing Li, Peilun Li 외 4명
arXiv (Cornell University)
|
2018
|
140 회 인용
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval
Xirong Li, Tiberio Uricchio 외 4명
UvA-DARE (University of Amsterdam)
|
2015
|
140 회 인용
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi, Mathieu Blondel
arXiv (Cornell University)
|
2017
|
140 회 인용
Stereo Magnification: Learning View Synthesis using Multiplane Images
Tinghui Zhou, Richard Tucker 외 3명
arXiv (Cornell University)
|
2018
|
140 회 인용
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time
Feargus Pendlebury, Fabio Pierazzi 외 3명
arXiv (Cornell University)
|
2018
|
140 회 인용
The European Quantum Technologies Roadmap
Antonio Acín, Immanuel Bloch 외 16명
arXiv (Cornell University)
|
2017
|
140 회 인용
Toward Transformer-Based Object Detection
Josh Beal, Eric Kim 외 4명
arXiv (Cornell University)
|
2020
|
140 회 인용
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen, Thierry Moreau 외 10명
arXiv (Cornell University)
|
2018
|
140 회 인용
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