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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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Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou, Matthew Brown, +2
arXiv (Cornell University)
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2017
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222 citations
Very Deep Convolutional Networks for Natural Language Processing.
Alexis Conneau, Holger Schwenk, +2
arXiv (Cornell University)
|
2016
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222 citations
Adversarial Learning for Neural Dialogue Generation
Jiwei Li, Will Monroe, +4
arXiv (Cornell University)
|
2017
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221 citations
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
Shumeet Baluja, Ian Fischer
arXiv (Cornell University)
|
2017
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221 citations
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu, Gao Huang, +5
arXiv (Cornell University)
|
2018
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221 citations
Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas, +1
arXiv (Cornell University)
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2016
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221 citations
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho, Jianyu Wang, +1
arXiv (Cornell University)
|
2020
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221 citations
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran, Alp Kucukelbir, +4
arXiv (Cornell University)
|
2016
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221 citations
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, +4
arXiv (Cornell University)
|
2017
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221 citations
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya Prakash, Sadid A. Hasan, +5
arXiv (Cornell University)
|
2016
|
221 citations
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