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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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Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
Yu Emma Wang, Gu-Yeon Wei, +1
arXiv (Cornell University)
|
2019
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230 citations
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu, Sinong Wang, +4
arXiv (Cornell University)
|
2020
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230 citations
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack, Sangwoo Mo, +2
arXiv (Cornell University)
|
2020
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230 citations
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, +3
arXiv (Cornell University)
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2016
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230 citations
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao, Song Han, +5
arXiv (Cornell University)
|
2017
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230 citations
Information Centric Networking in the IoT: Experiments with NDN in the Wild
Emmanuel Baccelli, Christian Mehlis, +3
2014
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230 citations
Learning Video Representations using Contrastive Bidirectional Transformer
Chen Sun, Fabien Baradel, +2
arXiv (Cornell University)
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2019
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230 citations
On the Convergence of Federated Optimization in Heterogeneous Networks.
Anit Kumar Sahu, Tian Li, +4
arXiv (Cornell University)
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2018
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230 citations
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang, Ruslan Salakhutdinov, +1
arXiv (Cornell University)
|
2017
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230 citations
Triple Generative Adversarial Nets
Chongxuan Li, Kun Xu, +2
arXiv (Cornell University)
|
2017
|
230 citations
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