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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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FMix: Enhancing Mixed Sample Data Augmentation
Ethan Harris, Antonia Marcu, +4
arXiv (Cornell University)
|
2020
|
104 citations
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai, Guokun Lai, +2
arXiv (Cornell University)
|
2020
|
104 citations
High Fidelity Speech Synthesis with Adversarial Networks
Mikołaj Bińkowski, Jeff Donahue, +6
arXiv (Cornell University)
|
2019
|
104 citations
Hyperspherical Variational Auto-Encoders
Tim R. Davidson, Luca Falorsi, +3
arXiv (Cornell University)
|
2018
|
104 citations
Information Theoretical Estimators Toolbox
Zoltán Szabó
arXiv (Cornell University)
|
2014
|
104 citations
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos, Maithra Raghu, +1
arXiv (Cornell University)
|
2018
|
104 citations
Knowledge Matters: Importance of Prior Information for Optimization
Çaǧlar Gülçehre, Yoshua Bengio
arXiv (Cornell University)
|
2013
|
104 citations
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui Lin, Jeff Bilmes
arXiv (Cornell University)
|
2012
|
104 citations
Les Houches 2017: Physics at TeV Colliders New Physics Working Group Report
G. Brooijmans, Matthew J. Dolan, +81
arXiv (Cornell University)
|
2018
|
104 citations
Loopy Belief Propagation as a Basis for Communication in Sensor Networks
Christopher Crick, Avi Pfeffer
arXiv (Cornell University)
|
2012
|
104 citations
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