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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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Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave, Michael D. Dennis, +4
arXiv (Cornell University)
|
2019
|
92 citations
Are Labels Required for Improving Adversarial Robustness?
Jonathan Uesato, Jean-Baptiste Alayrac, +4
arXiv (Cornell University)
|
2019
|
92 citations
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Kaidi Xu, Zhouxing Shi, +7
arXiv (Cornell University)
|
2020
|
92 citations
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems
Hossein Hosseini, Yize Chen, +3
arXiv (Cornell University)
|
2017
|
92 citations
Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation
Xiaochuan Fan, Kang Zheng, +2
arXiv (Cornell University)
|
2015
|
92 citations
Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan, Benjamin Roth, +1
arXiv (Cornell University)
|
2015
|
92 citations
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
arXiv (Cornell University)
|
2017
|
92 citations
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Eugene Kharitonov, Morgane Rivière, +5
arXiv (Cornell University)
|
2020
|
92 citations
Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics
John A. Quinn, Rose Nakasi, +4
arXiv (Cornell University)
|
2016
|
92 citations
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen, Roozbeh Mottaghi, +4
arXiv (Cornell University)
|
2014
|
92 citations
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