Exploring Generalization in Deep Learning

27 June 2017

Srinadh Bhojanapalli

Papers citing "Exploring Generalization in Deep Learning"

50 / 768 papers shown

Title
The Curious Case of Convex Neural Networks S. Sivaprasad Ankur Singh Naresh Manwani Vineet Gandhi 46 27 0 09 Jun 2020
Speedy Performance Estimation for Neural Architecture Search Binxin Ru Clare Lyle Lisa Schut M. Fil Mark van der Wilk Y. Gal 18 36 0 08 Jun 2020
Neural Networks with Small Weights and Depth-Separation Barriers Gal Vardi Ohad Shamir 16 18 0 31 May 2020
Tensor decomposition to Compress Convolutional Layers in Deep Learning Yinan Wang W. Guo Xiaowei Yue 6 15 0 28 May 2020
Is deeper better? It depends on locality of relevant features Takashi Mori Masahito Ueda OOD 25 4 0 26 May 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms Noam Razin Nadav Cohen 24 155 0 13 May 2020
Computing the Testing Error without a Testing Set C. Corneanu Meysam Madadi Sergio Escalera Aleix M. Martinez AAML 10 69 0 01 May 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training Sangkug Lym M. Erez 21 25 0 27 Apr 2020
On the interplay between physical and content priors in deep learning for computational imaging Mo Deng Shuai Li Iksung Kang N. Fang George Barbastathis 39 26 0 14 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays Xin Li Chengyin Li D. Zhu 24 79 0 06 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 14 39 0 01 Apr 2020
Dataless Model Selection with the Deep Frame Potential Calvin Murdock Simon Lucey 41 6 0 30 Mar 2020
Deep Networks as Logical Circuits: Generalization and Interpretation Christopher Snyder S. Vishwanath FAtt AI4CE 11 2 0 25 Mar 2020
Hyperplane Arrangements of Trained ConvNets Are Biased Matteo Gamba S. Carlsson Hossein Azizpour Mårten Björkman 24 5 0 17 Mar 2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks Majed El Helou Frederike Dumbgen Sabine Süsstrunk CLL AI4CE 30 2 0 07 Mar 2020
Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited Wesley J. Maddox Gregory W. Benton A. Wilson 20 61 0 04 Mar 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning Nhan H. Pham Lam M. Nguyen Dzung Phan Phuong Ha Nguyen Marten van Dijk Quoc Tran-Dinh 11 25 0 01 Mar 2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? Xiang Deng Zhongfei Zhang AI4CE 20 5 0 27 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 47 787 0 26 Feb 2020
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors A. Banerjee Tiancong Chen Yingxue Zhou BDL 22 8 0 23 Feb 2020
Improve SGD Training via Aligning Mini-batches Xiangrui Li Deng Pan X. Li D. Zhu 6 1 0 23 Feb 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 25 166 0 21 Feb 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 641 0 20 Feb 2020
Data-Driven Symbol Detection via Model-Based Machine Learning Nariman Farsad Nir Shlezinger Andrea J. Goldsmith Yonina C. Eldar 29 49 0 14 Feb 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 27 15 0 12 Feb 2020
Unique Properties of Flat Minima in Deep Networks Rotem Mulayoff T. Michaeli ODL 27 4 0 11 Feb 2020
Think Global, Act Local: Relating DNN generalisation and node-level SNR Paul Norridge 14 1 0 11 Feb 2020
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima Zeke Xie Issei Sato Masashi Sugiyama ODL 28 17 0 10 Feb 2020
Margin Maximization as Lossless Maximal Compression N. Nikolaou Henry W. J. Reeve Gavin Brown 26 4 0 28 Jan 2020
Uncertainty-based Modulation for Lifelong Learning Andrew P. Brna Ryan C. Brown P. Connolly Stephen B. Simons R. E. Shimizu Mario Aguilar-Simon 6 18 0 27 Jan 2020
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters Jinlong Liu Guo-qing Jiang Yunzhi Bai Ting Chen Huayan Wang AI4CE 33 49 0 21 Jan 2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant Shayan Aziznejad Harshit Gupta Joaquim Campos M. Unser 14 36 0 17 Jan 2020
DNNs as Layers of Cooperating Classifiers Marelie Hattingh Davel Marthinus W. Theunissen Arnold M. Pretorius E. Barnard 21 7 0 17 Jan 2020
Understanding Generalization in Deep Learning via Tensor Methods Jingling Li Yanchao Sun Jiahao Su Taiji Suzuki Furong Huang 25 27 0 14 Jan 2020
How neural networks find generalizable solutions: Self-tuned annealing in deep learning Yu Feng Y. Tu MLT 12 9 0 06 Jan 2020
Relative Flatness and Generalization Henning Petzka Michael Kamp Linara Adilova C. Sminchisescu Mario Boley 23 77 0 03 Jan 2020
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity Shiyu Liang Ruoyu Sun R. Srikant 37 19 0 31 Dec 2019
Transfer Learning in General Lensless Imaging through Scattering Media Yukuan Yang Lei Deng Peng Jiao Yansong Chua Jing Pei Cheng Ma Guoqi Li 14 6 0 28 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 24 56 0 20 Dec 2019
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 27 168 0 19 Dec 2019
The Spectral Bias of the Deep Image Prior Prithvijit Chakrabarty Subhransu Maji 11 38 0 18 Dec 2019
Tangent Space Separability in Feedforward Neural Networks Balint Daroczy Rita Aleksziev András A. Benczúr 16 3 0 18 Dec 2019
Analytic expressions for the output evolution of a deep neural network Anastasia Borovykh 16 0 0 18 Dec 2019
Training Provably Robust Models by Polyhedral Envelope Regularization Chen Liu Mathieu Salzmann Sabine Süsstrunk AAML 23 7 0 10 Dec 2019
Frivolous Units: Wider Networks Are Not Really That Wide Stephen Casper Xavier Boix Vanessa D’Amario Ling Guo Martin Schrimpf Kasper Vinken Gabriel Kreiman 26 19 0 10 Dec 2019
A priori generalization error for two-layer ReLU neural network through minimum norm solution Zhi-Qin John Xu Jiwei Zhang Tao Luo Chengchao Zhao MLT 19 1 0 06 Dec 2019
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 33 138 0 06 Dec 2019
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 16 596 0 04 Dec 2019
Stationary Points of Shallow Neural Networks with Quadratic Activation Function D. Gamarnik Eren C. Kizildag Ilias Zadik 19 13 0 03 Dec 2019
The intriguing role of module criticality in the generalization of deep networks Niladri S. Chatterji Behnam Neyshabur Hanie Sedghi 25 51 0 02 Dec 2019