Learning robust visual representations using data augmentation
invariance

Learning robust visual representations using data augmentation invariance

11 June 2019

Alex Hernández-García

Tim C Kietzmann

Papers citing "Learning robust visual representations using data augmentation invariance"

17 / 17 papers shown

Title
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 59 522 0 28 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 89 1,837 0 06 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 89 797 0 25 Apr 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 95 74 0 27 Jan 2019
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 54 144 0 11 Jun 2018
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 68 250 0 30 Nov 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 88 476 0 05 Jun 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 98 1,407 0 02 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 181 2,554 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 733 36,781 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 328 7,980 0 23 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 144 1,934 0 24 Feb 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 183 1,582 0 09 Mar 2015
Towards Biologically Plausible Deep Learning Yoshua Bengio Dong-Hyun Lee J. Bornschein Thomas Mesnard Zhouhan Lin DRL OOD 62 351 0 14 Feb 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 242 4,667 0 21 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 255 14,912 1 21 Dec 2013