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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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A Compositional Object-Based Approach to Learning Physical Dynamics
Michael B. Chang, Tomer Ullman, +2
arXiv (Cornell University)
|
2016
|
169 citations
A ConvNet for the 2020s
Zhuang Liu, Hanzi Mao, +4
arXiv (Cornell University)
|
2022
|
169 citations
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, +5
arXiv (Cornell University)
|
2018
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169 citations
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, +7
arXiv (Cornell University)
|
2018
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169 citations
Differential Privacy-enabled Federated Learning for Sensitive Health Data
Olivia Choudhury, Aris Gkoulalas-Divanis, +5
arXiv (Cornell University)
|
2019
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169 citations
Distribution Matching for Crowd Counting
Boyu Wang, Huidong Liu, +2
arXiv (Cornell University)
|
2020
|
169 citations
Dpraodv: A Dyanamic Learning System Against Blackhole Attack in Aodv Based Manet
Payal N. Raj, Prashant B. Swadas
ArXiv.org
|
2009
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169 citations
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
Yajie Miao, Mohammad Gowayyed, +1
arXiv (Cornell University)
|
2015
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169 citations
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
Dylan Slack, Sophie Hilgard, +3
arXiv (Cornell University)
|
2019
|
169 citations
GraphCast: Learning skillful medium-range global weather forecasting
Rémi Lam, Álvaro Sánchez‐González, +16
arXiv (Cornell University)
|
2022
|
169 citations
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