Understanding deep learning requires rethinking generalization

10 November 2016

Benjamin Recht

Papers citing "Understanding deep learning requires rethinking generalization"

37 / 1,237 papers shown

Title
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 46 336 0 10 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 67 2,042 0 08 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 19 210 0 05 Jun 2017
Deep learning evaluation using deep linguistic processing A. Kuhnle Ann A. Copestake ELM 33 11 0 05 Jun 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 89 1,641 0 01 Jun 2017
Spectral Norm Regularization for Improving the Generalizability of Deep Learning Yuichi Yoshida Takeru Miyato 55 326 0 31 May 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 36 553 0 30 May 2017
Classification regions of deep neural networks Alhussein Fawzi Seyed-Mohsen Moosavi-Dezfooli P. Frossard Stefano Soatto 34 51 0 26 May 2017
Implicit Regularization in Matrix Factorization Suriya Gunasekar Blake E. Woodworth Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro 36 489 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 69 797 0 24 May 2017
Latent Multi-task Architecture Learning Sebastian Ruder Joachim Bingel Isabelle Augenstein Anders Søgaard CVBM 27 171 0 23 May 2017
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 22 442 0 22 May 2017
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 47 174 0 16 May 2017
The loss surface of deep and wide neural networks Quynh N. Nguyen Matthias Hein ODL 61 283 0 26 Apr 2017
ShapeWorld - A new test methodology for multimodal language understanding A. Kuhnle Ann A. Copestake 36 68 0 14 Apr 2017
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? Vraj Shah Arun Kumar Xiaojin Zhu 30 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 50 806 0 31 Mar 2017
Diving into the shallows: a computational perspective on large-scale shallow learning Siyuan Ma M. Belkin 39 78 0 30 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 22 45 0 23 Mar 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 53 300 0 22 Mar 2017
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 33 121 0 20 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 60 760 0 15 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 77 455 0 06 Mar 2017
Generative and Discriminative Text Classification with Recurrent Neural Networks Dani Yogatama Chris Dyer Wang Ling Phil Blunsom 27 197 0 06 Mar 2017
Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij Christoph H. Lampert MLT 31 165 0 05 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 38 1,397 0 02 Mar 2017
Mixing Complexity and its Applications to Neural Networks Michal Moshkovitz Naftali Tishby 32 11 0 02 Mar 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 50 223 0 24 Feb 2017
Exponentially vanishing sub-optimal local minima in multilayer neural networks Daniel Soudry Elad Hoffer 34 97 0 19 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 121 1,508 0 25 Jan 2017
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 37 73 0 19 Nov 2016
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 55 911 0 05 Oct 2016
Quantifying the probable approximation error of probabilistic inference programs Marco F. Cusumano-Towner Vikash K. Mansinghka 46 7 0 31 May 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 45 307 0 26 May 2016
Benefits of depth in neural networks Matus Telgarsky 195 606 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 136 581 0 27 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 190 1,187 0 30 Nov 2014