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필터
9999+개의 결과
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed 외 1명
arXiv (Cornell University)
|
2014
|
2,647 회 인용
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly 외 1명
arXiv (Cornell University)
|
2017
|
2,626 회 인용
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár 외 7명
arXiv (Cornell University)
|
2017
|
2,612 회 인용
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin, Victor Lempitsky
arXiv (Cornell University)
|
2014
|
2,601 회 인용
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin 외 66명
arXiv (Cornell University)
|
2023
|
2,594 회 인용
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg, Alexey Dosovitskiy 외 2명
arXiv (Cornell University)
|
2014
|
2,592 회 인용
Fitting Linear Mixed-Effects Models Using lme4
Douglas M. Bates, Martin Mächler 외 2명
arXiv (Cornell University)
|
2014
|
2,577 회 인용
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez, Jason Wang
arXiv (Cornell University)
|
2017
|
2,535 회 인용
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal
arXiv (Cornell University)
|
2017
|
2,528 회 인용
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 회 인용
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