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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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Dataset Condensation with Gradient Matching
Bo Zhao, Konda Reddy Mopuri, +1
arXiv (Cornell University)
|
2020
|
105 citations
Deep Meta-Learning: Learning to Learn in the Concept Space
Fengwei Zhou, Bin Wu, +1
arXiv (Cornell University)
|
2018
|
105 citations
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
Shuochao Yao, Shaohan Hu, +3
arXiv (Cornell University)
|
2016
|
105 citations
Dense graphs are antimagic
Noga Alon, Gil Kaplan, +3
ArXiv.org
|
2003
|
105 citations
Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers.
Arjun Nitin Bhagoji, Daniel Cullina, +1
arXiv (Cornell University)
|
2017
|
105 citations
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
arXiv (Cornell University)
|
2011
|
105 citations
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Yu Yao, Tongliang Liu, +5
arXiv (Cornell University)
|
2020
|
105 citations
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri, Utsav Garg, +1
ePrints@IISc (Indian Institute of Science)
|
2017
|
105 citations
Finite-Sample Analysis of Proximal Gradient TD Algorithms
Bo Liu, Ji Liu, +3
arXiv (Cornell University)
|
2020
|
105 citations
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu, Yujie Wang, +3
arXiv (Cornell University)
|
2017
|
105 citations
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