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TAG»MACHINE LEARNING«
JUNE2020
READING NOTES
Zhilu Zhang, Mert R. Sabuncu.
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
. NeurIPS 2018.
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Yuxin Wu, Kaiming He.
Group Normalization.
ECCV (13) 2018.
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky.
Instance Normalization: The Missing Ingredient for Fast Stylization
. CoRR abs/1607.08022 (2016)
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Roman Novak, Yasaman Bahri, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein.
Sensitivity and Generalization in Neural Networks: an Empirical Study
. ICLR (Poster) 2018.
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Lei Jimmy Ba, Jamie Ryan Kiros, Geoffrey E. Hinton.
Layer Normalization
. CoRR abs/1607.06450 (2016).
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Mattias Teye, Hossein Azizpour, Kevin Smith.
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
. ICML 2018.
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Norman Mu, Justin Gilmer.
MNIST-C: A Robustness Benchmark for Computer Vision
. CoRR abs/1906.02337 (2019).
COMPUTER VISION
DEEP LEARNING
MACHINE LEARNING
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MAY2020
READING NOTES
Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk.
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
. CoRR abs/1906.02611 (2019).
ADVERSARIAL MACHINE LEARNING
COMPUTER VISION
DEEP LEARNING
MACHINE LEARNING
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APRIL2020
READING NOTES
Erik Englesson, Hossein Azizpour.
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation
. CoRR abs/1906.05419 (2019).
DEEP LEARNING
MACHINE LEARNING
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APRIL2020
READING NOTES
Peter L. Bartlett.
For Valid Generalization the Size of the Weights is More Important than the Size of the Network
. NIPS 1996: 134-140.
DEEP LEARNING
MACHINE LEARNING
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