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