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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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Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Francis Bach, +1
arXiv (Cornell University)
|
2008
|
285 citations
LEAF: A Benchmark for Federated Settings
Sebastian Caldas, Duddu, Sai Meher Karthik, +6
arXiv (Cornell University)
|
2018
|
285 citations
SNAS: Stochastic Neural Architecture Search
Sirui Xie, Hehui Zheng, +2
arXiv (Cornell University)
|
2018
|
285 citations
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes, Jean Ponce, +1
arXiv (Cornell University)
|
2021
|
285 citations
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari, Vicente Ordóñez, +2
arXiv (Cornell University)
|
2016
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285 citations
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, +1
arXiv (Cornell University)
|
2017
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284 citations
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li, Chao Peng, +4
arXiv (Cornell University)
|
2017
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284 citations
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang, William W. Cohen, +1
arXiv (Cornell University)
|
2016
|
284 citations
Tent: Fully Test-time Adaptation by Entropy Minimization
Dequan Wang, Evan Shelhamer, +3
arXiv (Cornell University)
|
2020
|
284 citations
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang, Gabriel Bender, +2
arXiv (Cornell University)
|
2019
|
283 citations
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