Exploring Generalization in Deep Learning

27 June 2017

Srinadh Bhojanapalli

Papers citing "Exploring Generalization in Deep Learning"

50 / 305 papers shown

Title
An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang Hansi Yang Yu Zhang James T. Kwok AAML 81 31 0 28 Apr 2023
Fundamental Tradeoffs in Learning with Prior Information Anirudha Majumdar 32 0 0 26 Apr 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation Tianli Zhang Mengqi Xue Jiangtao Zhang Haofei Zhang Yu Wang Lechao Cheng Jie Song Mingli Song 28 5 0 26 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 41 34 0 19 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 37 17 0 11 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 43 20 0 28 Feb 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon Atish Agarwala Yann N. Dauphin 21 20 0 17 Feb 2023
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization Hoki Kim Jinseong Park Yujin Choi Woojin Lee Jaewook Lee 20 9 0 27 Jan 2023
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics J. Lazzari Xiuwen Liu 24 3 0 14 Jan 2023
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 18 12 0 19 Dec 2022
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 34 30 0 09 Dec 2022
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration David Bojanić Kristijan Bartol J. Forest Stefan Gumhold Tomislav Petković Tomislav Pribanić 3DPC 33 0 0 29 Nov 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 35 5 0 22 Nov 2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States Ziqiao Wang Yongyi Mao 27 10 0 19 Nov 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair Keller Jordan Hanie Sedghi O. Saukh R. Entezari Behnam Neyshabur MoMe 46 94 0 15 Nov 2022
Quantifying the Impact of Label Noise on Federated Learning Shuqi Ke Chao Huang Xin Liu FedML 28 7 0 15 Nov 2022
How Does Sharpness-Aware Minimization Minimize Sharpness? Kaiyue Wen Tengyu Ma Zhiyuan Li AAML 23 47 0 10 Nov 2022
Do highly over-parameterized neural networks generalize since bad solutions are rare? Julius Martinetz T. Martinetz 22 1 0 07 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 22 6 0 02 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models Hong Liu Sang Michael Xie Zhiyuan Li Tengyu Ma AI4CE 40 49 0 25 Oct 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 31 2 0 24 Oct 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks A. K. Akash Sixu Li Nicolas García Trillos 31 12 0 13 Oct 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach Peng Mi Li Shen Tianhe Ren Yiyi Zhou Xiaoshuai Sun Rongrong Ji Dacheng Tao AAML 27 69 0 11 Oct 2022
Second-order regression models exhibit progressive sharpening to the edge of stability Atish Agarwala Fabian Pedregosa Jeffrey Pennington 25 26 0 10 Oct 2022
Novice Type Error Diagnosis with Natural Language Models Chuqin Geng Haolin Ye Yixuan Li Tianyu Han B. Pientka X. Si 25 3 0 07 Oct 2022
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel Sungyub Kim Si-hun Park Kyungsu Kim Eunho Yang BDL 26 4 0 30 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 2 0 23 Sep 2022
Test-Time Adaptation with Principal Component Analysis Thomas Cordier Victor Bouvier Gilles Hénaff C´eline Hudelot TTA 25 1 0 13 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 34 27 0 02 Sep 2022
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 34 72 0 26 Aug 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip H. S. Torr P. Dokania UQCV AAML 27 48 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
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 51 9 0 12 Jul 2022
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems S. Pourtakdoust Amir H. Khodabakhsh 33 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 24 18 0 01 Jul 2022
Federated Latent Class Regression for Hierarchical Data Bin Yang T. Carette Masanobu Jimbo Shinya Maruyama FedML 15 0 0 22 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 32 13 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 37 69 0 14 Jun 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 26 133 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
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 22 0 0 09 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
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 56 23 0 18 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