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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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Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, +1
arXiv (Cornell University)
|
2014
|
2,647 citations
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, +1
arXiv (Cornell University)
|
2017
|
2,626 citations
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, +7
arXiv (Cornell University)
|
2017
|
2,612 citations
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin, Victor Lempitsky
arXiv (Cornell University)
|
2014
|
2,601 citations
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin, +66
arXiv (Cornell University)
|
2023
|
2,594 citations
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg, Alexey Dosovitskiy, +2
arXiv (Cornell University)
|
2014
|
2,592 citations
Fitting Linear Mixed-Effects Models Using lme4
Douglas M. Bates, Martin Mächler, +2
arXiv (Cornell University)
|
2014
|
2,577 citations
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez, Jason Wang
arXiv (Cornell University)
|
2017
|
2,535 citations
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal
arXiv (Cornell University)
|
2017
|
2,528 citations
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen, Harri Valpola
arXiv (Cornell University)
|
2017
|
2,517 citations
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