Understanding deep learning requires rethinking generalization

10 November 2016

Benjamin Recht

Papers citing "Understanding deep learning requires rethinking generalization"

33 / 883 papers shown

Title
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning Frank E. Curtis K. Scheinberg 33 45 0 30 Jun 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 68 1,235 0 27 Jun 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 39 1,200 0 26 Jun 2017
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu C. Hegde S. Sarkar FedML 16 179 0 23 Jun 2017
GM-Net: Learning Features with More Efficiency Yujia Chen Ce Li 19 6 0 21 Jun 2017
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao-quan Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 25 336 0 10 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 14 209 0 05 Jun 2017
Spectral Norm Regularization for Improving the Generalizability of Deep Learning Yuichi Yoshida Takeru Miyato 22 324 0 31 May 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 36 548 0 30 May 2017
Implicit Regularization in Matrix Factorization Suriya Gunasekar Blake E. Woodworth Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro 8 486 0 25 May 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer Itay Hubara Daniel Soudry ODL 32 792 0 24 May 2017
Latent Multi-task Architecture Learning Sebastian Ruder Joachim Bingel Isabelle Augenstein Anders Søgaard CVBM 19 171 0 23 May 2017
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 31 174 0 16 May 2017
The loss surface of deep and wide neural networks Quynh N. Nguyen Matthias Hein ODL 40 282 0 26 Apr 2017
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? Vraj Shah Arun Kumar Xiaojin Zhu 15 25 0 03 Apr 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 50 799 0 31 Mar 2017
Diving into the shallows: a computational perspective on large-scale shallow learning Siyuan Ma M. Belkin 24 75 0 30 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 6 45 0 23 Mar 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 33 301 0 22 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 46 755 0 15 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 16 453 0 06 Mar 2017
Generative and Discriminative Text Classification with Recurrent Neural Networks Dani Yogatama Chris Dyer Wang Ling Phil Blunsom 11 196 0 06 Mar 2017
Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij Christoph H. Lampert MLT 9 165 0 05 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 38 1,387 0 02 Mar 2017
Mixing Complexity and its Applications to Neural Networks Michal Moshkovitz Naftali Tishby 18 11 0 02 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 21 73 0 19 Nov 2016
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 42 894 0 05 Oct 2016
Quantifying the probable approximation error of probabilistic inference programs Marco F. Cusumano-Towner Vikash K. Mansinghka 33 7 0 31 May 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 26 307 0 26 May 2016
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 125 577 0 27 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014