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Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

2 July 2020

Papers citing "Efficient Proximal Mapping of the 1-path-norm of Shallow Networks"

24 / 24 papers shown

Title
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 139 610 0 04 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,591 0 03 Dec 2019
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning Jérôme Bolte Edouard Pauwels 63 129 0 23 Sep 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 98 461 0 12 Jun 2019
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 108 711 0 03 Dec 2018
Provably Correct Automatic Subdifferentiation for Qualified Programs Sham Kakade Jason D. Lee 54 41 0 23 Sep 2018
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning Fei Wen L. Chu Peilin Liu Robert C. Qiu 54 153 0 16 Aug 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 106 1,782 0 30 May 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 159 4,444 0 16 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 105 309 0 12 Feb 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 113 969 0 29 Jan 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 97 1,096 0 23 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 160 2,159 0 21 Aug 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 210 1,225 0 26 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 315 12,131 0 19 Jun 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 145 808 0 28 Apr 2017
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 185 413 0 19 Nov 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 425 466 0 02 Jul 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 305 5,534 0 23 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 292 591 0 27 Feb 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,961 1 21 Dec 2013
Optimization with Sparsity-Inducing Penalties Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 216 1,058 0 03 Aug 2011