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Spectrally-normalized margin bounds for neural networks

26 June 2017

Papers citing "Spectrally-normalized margin bounds for neural networks"

50 / 811 papers shown

Title
Structured Dropout Variational Inference for Bayesian Neural Networks S. Nguyen Duong Nguyen Khai Nguyen Khoat Than Hung Bui Nhat Ho BDL DRL 56 8 0 16 Feb 2021
Q-Value Weighted Regression: Reinforcement Learning with Limited Data Piotr Kozakowski Lukasz Kaiser Henryk Michalewski Afroz Mohiuddin Katarzyna Kañska OffRL 73 5 0 12 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 81 36 0 12 Feb 2021
Sufficiently Accurate Model Learning for Planning Clark Zhang Santiago Paternain Alejandro Ribeiro 25 0 0 11 Feb 2021
Stability of SGD: Tightness Analysis and Improved Bounds Yikai Zhang Wenjia Zhang Sammy Bald Vamsi Pingali Chao Chen Mayank Goswami MLT 59 38 0 10 Feb 2021
Dimension Free Generalization Bounds for Non Linear Metric Learning Mark Kozdoba Shie Mannor 13 0 0 07 Feb 2021
Effects of quantum resources on the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 45 13 0 05 Feb 2021
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels Hao Wang Rui Gao Flavio du Pin Calmon 81 18 0 05 Feb 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition Ming Lin Pichao Wang Zhenhong Sun Hesen Chen Xiuyu Sun Qi Qian Hao Li Rong Jin 84 109 0 01 Feb 2021
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent Gergely Neu Gintare Karolina Dziugaite Mahdi Haghifam Daniel M. Roy 117 90 0 01 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 201 172 0 29 Jan 2021
A Statistician Teaches Deep Learning G. Babu David L. Banks Hyunsoo Cho David Han Hailin Sang Shouyi Wang 60 2 0 29 Jan 2021
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning Paul Novello Gaël Poëtte D. Lugato P. Congedo 88 0 0 19 Jan 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 106 43 0 15 Jan 2021
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds B. Georgiev L. Franken Mayukh Mukherjee AAML 31 1 0 15 Jan 2021
Learning with Gradient Descent and Weakly Convex Losses Dominic Richards Michael G. Rabbat MLT 71 15 0 13 Jan 2021
Robustness, Privacy, and Generalization of Adversarial Training Fengxiang He Shaopeng Fu Bohan Wang Dacheng Tao 114 10 0 25 Dec 2020
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 130 51 0 20 Dec 2020
Using noise resilience for ranking generalization of deep neural networks Depen Morwani Rahul Vashisht H. G. Ramaswamy AI4CE 57 1 0 16 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 92 90 0 14 Dec 2020
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks Bohan Wang Qi Meng Wei Chen Tie-Yan Liu 82 36 0 11 Dec 2020
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization Navid Hashemi Justin Ruths Mahyar Fazlyab 95 22 0 10 Dec 2020
Notes on Deep Learning Theory Eugene Golikov VLM AI4CE 25 2 0 10 Dec 2020
Adversarial Meta-Learning of Gamma-Minimax Estimators That Leverage Prior Knowledge Hongxiang Qiu Alexander Luedtke 24 0 0 10 Dec 2020
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions Guanya Shi Wolfgang Hönig Xichen Shi Yisong Yue Soon-Jo Chung 126 71 0 10 Dec 2020
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics Zhiwei Jia Bodi Yuan Kangkang Wang Hong Wu David Clifford Zhiqiang Yuan Hao Su VLM 101 23 0 09 Dec 2020
Generalization bounds for deep learning Guillermo Valle Pérez A. Louis BDL 82 45 0 07 Dec 2020
Why Unsupervised Deep Networks Generalize Anita de Mello Koch E. Koch R. Koch OOD 44 8 0 07 Dec 2020
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis Jicong Fan Lijun Ding Chengrun Yang Zhao Zhang Madeleine Udell 168 3 0 07 Dec 2020
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 50 0 0 02 Dec 2020
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 109 49 0 23 Nov 2020
Normalization effects on shallow neural networks and related asymptotic expansions Jiahui Yu K. Spiliopoulos 53 6 0 20 Nov 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen Shuai Li Kui Jia AAML 67 24 0 15 Nov 2020
Neural Abstract Reasoner Victor Kolev B. Georgiev Svetlin Penkov NAI 54 10 0 12 Nov 2020
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory Yunbei Xu A. Zeevi 130 17 0 12 Nov 2020
Towards a Better Global Loss Landscape of GANs Ruoyu Sun Tiantian Fang Alex Schwing GAN 67 26 0 10 Nov 2020
An Information-Geometric Distance on the Space of Tasks Yansong Gao Pratik Chaudhari 68 22 0 01 Nov 2020
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 146 768 0 30 Oct 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 121 92 0 30 Oct 2020
Compressive Sensing and Neural Networks from a Statistical Learning Perspective Arash Behboodi Holger Rauhut Ekkehard Schnoor 81 19 0 29 Oct 2020
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks Zhiqi Bu Shiyun Xu Kan Chen 61 18 0 25 Oct 2020
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 94 120 0 22 Oct 2020
Deep Learning is Singular, and That's Good Daniel Murfet Susan Wei Biwei Huang Hui Li Jesse Gell-Redman T. Quella UQCV 79 29 0 22 Oct 2020
Learning Curves for Analysis of Deep Networks Derek Hoiem Tanmay Gupta Zhizhong Li Michal Shlapentokh-Rothman 82 26 0 21 Oct 2020
For self-supervised learning, Rationality implies generalization, provably Yamini Bansal Gal Kaplun Boaz Barak OOD SSL 117 22 0 16 Oct 2020
Failures of model-dependent generalization bounds for least-norm interpolation Peter L. Bartlett Philip M. Long 173 29 0 16 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers Preetum Nakkiran Behnam Neyshabur Hanie Sedghi OffRL 97 11 0 16 Oct 2020
How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks Gao Jin Xinping Yi Liang Zhang Lijun Zhang S. Schewe Xiaowei Huang 78 42 0 12 Oct 2020
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 108 252 0 09 Oct 2020
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation Wenxiang Jiao Xing Wang Shilin He Irwin King Michael R. Lyu Zhaopeng Tu 78 26 0 06 Oct 2020