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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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Generalized Byzantine-tolerant SGD
Cong Xie, Oluwasanmi Koyejo, +1
arXiv (Cornell University)
|
2018
|
176 citations
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin, Nicholas Carlini, +3
arXiv (Cornell University)
|
2019
|
176 citations
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data
Antoine Miech, Ivan Laptev, +1
arXiv (Cornell University)
|
2018
|
176 citations
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
Vijay Kumar B G, Gustavo Carneiro, +1
arXiv (Cornell University)
|
2015
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176 citations
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini, Jonathan Masci, +2
arXiv (Cornell University)
|
2016
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176 citations
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, +7
arXiv (Cornell University)
|
2019
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176 citations
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, +12
arXiv (Cornell University)
|
2019
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176 citations
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel E. Ho, Eric Liang, +3
arXiv (Cornell University)
|
2019
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176 citations
Serverless Computing: One Step Forward, Two Steps Back
Joseph M. Hellerstein, Jose M. Faleiro, +5
arXiv (Cornell University)
|
2018
|
176 citations
sktime: A Unified Interface for Machine Learning with Time Series
Markus Löning, Anthony Bagnall, +4
arXiv (Cornell University)
|
2019
|
176 citations
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