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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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Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua, Roberto Calandra, +2
arXiv (Cornell University)
|
2018
|
185 citations
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee, Hung-Yu Tseng, +5
arXiv (Cornell University)
|
2019
|
185 citations
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng, Huan Zhang, +6
arXiv (Cornell University)
|
2018
|
185 citations
FlashGraph: processing billion-node graphs on an array of commodity SSDs
Da Zheng, Disa Mhembere, +4
arXiv (Cornell University)
|
2015
|
185 citations
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Yongming Rao, Wenliang Zhao, +4
arXiv (Cornell University)
|
2022
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185 citations
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans, +4
arXiv (Cornell University)
|
2016
|
185 citations
Learning to Detect Malicious Clients for Robust Federated Learning
Suyi Li, Yong Cheng, +3
arXiv (Cornell University)
|
2020
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185 citations
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi, Christopher J. Shallue, +4
arXiv (Cornell University)
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2019
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185 citations
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam, Peter Henderson, +2
arXiv (Cornell University)
|
2017
|
185 citations
Simple And Efficient Architecture Search for Convolutional Neural Networks
Thomas Elsken, Jan-Hendrik Metzen, +1
arXiv (Cornell University)
|
2017
|
185 citations
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