Exploring Generalization in Deep Learning

27 June 2017

Srinadh Bhojanapalli

Papers citing "Exploring Generalization in Deep Learning"

50 / 766 papers shown

Title
Novice Type Error Diagnosis with Natural Language Models Chuqin Geng Haolin Ye Yixuan Li Tianyu Han B. Pientka X. Si 27 3 0 07 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 29 3 0 06 Oct 2022
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability Alexandru Damian Eshaan Nichani Jason D. Lee 27 76 0 30 Sep 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Sungyub Kim Si-hun Park Kyungsu Kim Eunho Yang BDL 29 4 0 30 Sep 2022
Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval Nicolae-Cătălin Ristea Andrei Anghel Mihai Datcu Bertrand Chapron 11 8 0 29 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 35 3 0 23 Sep 2022
Towards Robust Referring Image Segmentation Jianzong Wu Xiangtai Li Xia Li Henghui Ding Yu Tong Dacheng Tao 3DV 37 40 0 20 Sep 2022
Test-Time Adaptation with Principal Component Analysis Thomas Cordier Victor Bouvier Gilles Hénaff C´eline Hudelot TTA 30 1 0 13 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 11 6 0 04 Sep 2022
Revisiting Outer Optimization in Adversarial Training Ali Dabouei Fariborz Taherkhani Sobhan Soleymani Nasser M. Nasrabadi AAML 27 4 0 02 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 37 27 0 02 Sep 2022
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 34 72 0 26 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 14 18 0 15 Aug 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas L. Griffiths BDL SyDa 38 7 0 11 Aug 2022
On the benefits of non-linear weight updates Paul Norridge 18 0 0 25 Jul 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip Torr P. Dokania UQCV AAML 33 49 0 22 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 16 19 0 13 Jul 2022
Implicit regularization of dropout Zhongwang Zhang Zhi-Qin John Xu 24 26 0 13 Jul 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 51 9 0 12 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 27 4 0 05 Jul 2022
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems S. Pourtakdoust Amir H. Khodabakhsh 36 12 0 05 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 36 55 0 04 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Integral Probability Metrics PAC-Bayes Bounds Ron Amit Baruch Epstein Shay Moran Ron Meir 27 18 0 01 Jul 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 32 79 0 27 Jun 2022
Federated Latent Class Regression for Hierarchical Data Bin Yang T. Carette Masanobu Jimbo Shinya Maruyama FedML 20 0 0 22 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 34 13 0 16 Jun 2022
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence Margalit Glasgow Colin Wei Mary Wootters Tengyu Ma 38 5 0 16 Jun 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction Kaifeng Lyu Zhiyuan Li Sanjeev Arora FAtt 43 70 0 14 Jun 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 35 134 0 13 Jun 2022
$Intrinsic dimensionality and generalization properties of the $\mathcal{R}$-norm inductive bias$ Intrinsic dimensionality and generalization properties of the $\mathcal{R}$ -norm inductive bias Navid Ardeshir Daniel J. Hsu Clayton Sanford CML AI4CE 18 6 0 10 Jun 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation Minyoung Kim Da Li S. Hu Timothy M. Hospedales AAML 27 68 0 10 Jun 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 30 0 0 09 Jun 2022
Generalization Error Bounds for Deep Neural Networks Trained by SGD Mingze Wang Chao Ma 6 14 0 07 Jun 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 34 9 0 02 Jun 2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power Binghui Li Jikai Jin Han Zhong J. Hopcroft Liwei Wang OOD 82 27 0 27 May 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures Emmanuel Abbe Samy Bengio Elisabetta Cornacchia Jon M. Kleinberg Aryo Lotfi M. Raghu Chiyuan Zhang MLT 16 10 0 26 May 2022
Gaussian Universality of Perceptrons with Random Labels Federica Gerace Florent Krzakala Bruno Loureiro Ludovic Stephan Lenka Zdeborová 51 23 0 26 May 2022
Semi-supervised Drifted Stream Learning with Short Lookback Wei-Ya Ren Pengyang Wang Xiaolin Li C. Hughes Yanjie Fu AI4TS 32 15 0 25 May 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa Roman Kern PILM AILaw 25 40 0 20 May 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias Itay Safran Gal Vardi Jason D. Lee MLT 59 23 0 18 May 2022
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective Keitaro Sakamoto Issei Sato 38 9 0 15 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
Evaluating the Generalization Ability of Super-Resolution Networks Yihao Liu Hengyuan Zhao Jinjin Gu Yu Qiao Chao Dong 14 24 0 14 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 43 109 0 06 May 2022
UnrealNAS: Can We Search Neural Architectures with Unreal Data? Zhen Dong Kaichen Zhou Ge Li Qiang Zhou Mingfei Guo Guohao Li Kurt Keutzer Shanghang Zhang 41 0 0 04 May 2022
A Falsificationist Account of Artificial Neural Networks O. Buchholz Eric Raidl AI4CE 17 4 0 03 May 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification M. Mendez-Ruiz F. Lopez-Tiro Jonathan El Beze V. Estrade G. Ochoa-Ruiz Jacques Hubert Andres Mendez-Vazquez C. Daul OOD 17 7 0 02 May 2022