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JUNE2020
READING NOTES
Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran.
Cross-Entropy Loss Leads To Poor Margins.
https://openreview.net/forum?id=ByfbnsA9Km.
MACHINE LEARNING
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JUNE2020
READING NOTES
Etai Littwin, Lior Wolf.
Regularizing by the Variance of the Activations' Sample-Variances.
NeurIPS 2018.
DEEP LEARNING
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JUNE2020
READING NOTES
Shivam Garg, Vatsal Sharan, Brian Hu Zhang, Gregory Valiant.
A Spectral View of Adversarially Robust Features.
NeurIPS 2018.
ADVERSARIAL MACHINE LEARNING
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JUNE2020
READING NOTES
Nic Ford, Justin Gilmer, Nicholas Carlini, Ekin Dogus Cubuk.
Adversarial Examples Are a Natural Consequence of Test Error in Noise.
CoRR abs/1901.10513 (2019).
ADVERSARIAL MACHINE LEARNING
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JUNE2020
READING NOTES
Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio.
Sharp Minima Can Generalize For Deep Nets.
ICML 2017.
DEEP LEARNING
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JUNE2020
READING NOTES
Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada.
On Correlation of Features Extracted by Deep Neural Networks.
IJCNN 2019.
DEEP LEARNING
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JUNE2020
READING NOTES
Ian J. Goodfellow.
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks
. CoRR abs/1903.06293 (2019).
ADVERSARIAL MACHINE LEARNING
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JUNE2020
READING NOTES
Zhilu Zhang, Mert R. Sabuncu.
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
. NeurIPS 2018.
DEEP LEARNING
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MAY2020
READING NOTES
Yuxin Wu, Kaiming He.
Group Normalization.
ECCV (13) 2018.
DEEP 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
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