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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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Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
Jongpil Lee, Ji Young Park, +2
arXiv (Cornell University)
|
2017
|
104 citations
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret, Ariel Kleiner, +2
arXiv (Cornell University)
|
2020
|
104 citations
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, +35
arXiv (Cornell University)
|
2020
|
104 citations
StegExpose - A Tool for Detecting LSB Steganography
Benedikt Boehm
arXiv (Cornell University)
|
2014
|
104 citations
Stochastic Variational Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, +2
arXiv (Cornell University)
|
2016
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104 citations
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, +7
arXiv (Cornell University)
|
2018
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104 citations
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Guodong Wang, Shumin Han, +2
arXiv (Cornell University)
|
2021
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104 citations
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo, Jianxin Wu, +1
arXiv (Cornell University)
|
2017
|
104 citations
Tiramisu: a polyhedral compiler for expressing fast and portable code
Riyadh Baghdadi, Jessica M. Ray, +7
arXiv (Cornell University)
|
2019
|
104 citations
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang, Peng Wang, +3
arXiv (Cornell University)
|
2017
|
104 citations
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