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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
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 91 0 0 09 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 71 4 0 08 Mar 2023
Benign Overfitting for Two-layer ReLU Convolutional Neural Networks Yiwen Kou Zi-Yuan Chen Yuanzhou Chen Quanquan Gu MLT 94 17 0 07 Mar 2023
Quantized Radio Map Estimation Using Tensor and Deep Generative Models Subash Timilsina Sagar Shrestha Xiao Fu 52 8 0 03 Mar 2023
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization Ravid Shwartz-Ziv Randall Balestriero Kenji Kawaguchi Tim G. J. Rudner Yann LeCun 70 23 0 01 Mar 2023
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage Ibrahim Issa A. Esposito Michael C. Gastpar 56 2 0 28 Feb 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan Henry Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 88 11 0 24 Feb 2023
Learning to Generalize Provably in Learning to Optimize Junjie Yang Tianlong Chen Mingkang Zhu Fengxiang He Dacheng Tao Yitao Liang Zhangyang Wang 74 7 0 22 Feb 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 155 8 0 21 Feb 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 102 23 0 17 Feb 2023
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios? A. Steland 50 0 0 14 Feb 2023
Koopman-based generalization bound: New aspect for full-rank weights Yuka Hashimoto Sho Sonoda Isao Ishikawa Atsushi Nitanda Taiji Suzuki 43 3 0 12 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 57 41 0 09 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Pietro Lio Michael M. Bronstein 135 121 0 06 Feb 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 121 11 0 03 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 127 10 0 03 Feb 2023
ResMem: Learn what you can and memorize the rest Zitong Yang Michal Lukasik Vaishnavh Nagarajan Zong-xiao Li A. S. Rawat Manzil Zaheer A. Menon Surinder Kumar VLM 85 8 0 03 Feb 2023
Gradient Descent in Neural Networks as Sequential Learning in RKBS A. Shilton Sunil R. Gupta Santu Rana Svetha Venkatesh MLT 128 1 0 01 Feb 2023
On the Lipschitz Constant of Deep Networks and Double Descent Matteo Gamba Hossein Azizpour Mårten Björkman 98 7 0 28 Jan 2023
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks Tomer Galanti Mengjia Xu Liane Galanti T. Poggio 61 9 0 28 Jan 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks Ruigang Wang I. Manchester 129 47 0 27 Jan 2023
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation Jose Antonio Lara Benitez Takashi Furuya F. Faucher Anastasis Kratsios X. Tricoche Maarten V. de Hoop 134 19 0 27 Jan 2023
Long-tail Detection with Effective Class-Margins Jang Hyun Cho Philipp Krahenbuhl 94 19 0 23 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 67 1 0 12 Jan 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 121 13 0 30 Dec 2022
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks Ilja Kuzborskij Csaba Szepesvári 73 4 0 28 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 67 4 0 23 Dec 2022
Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian Honglei Zhuang Zhen Qin Hamed Zamani Jing Lu Ji Ma Kai Hui Han Zhao Xuanhui Wang Michael Bendersky OOD 107 10 0 21 Dec 2022
Improved Convergence Guarantees for Shallow Neural Networks A. Razborov ODL 66 1 0 05 Dec 2022
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints Jianyi Yang Shaolei Ren 83 2 0 03 Dec 2022
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory Jin-Lin Tang B. Tao Zeyu Gong Zhoupin Yin AI4CE 61 1 0 30 Nov 2022
On the Power of Foundation Models Yang Yuan 97 37 0 29 Nov 2022
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 60 23 0 27 Nov 2022
Why Neural Networks Work Sayan Mukherjee Bernardo A. Huberman 39 2 0 26 Nov 2022
Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich Ekaterina Bulatova Anton Obukhov M. Rakhuba AAML 76 9 0 24 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 111 12 0 19 Nov 2022
On the Sample Complexity of Two-Layer Networks: Lipschitz vs. Element-Wise Lipschitz Activation Amit Daniely Elad Granot MLT 63 1 0 17 Nov 2022
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology Zheyuan Hu Ameya Dilip Jagtap George Karniadakis Kenji Kawaguchi 92 85 0 16 Nov 2022
On the Algorithmic Stability and Generalization of Adaptive Optimization Methods Han Nguyen Hai Pham Sashank J. Reddi Barnabas Poczos ODL AI4CE 101 2 0 08 Nov 2022
Do highly over-parameterized neural networks generalize since bad solutions are rare? Julius Martinetz T. Martinetz 61 1 0 07 Nov 2022
Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos Adrien Courtois Jean-Michel Morel Pablo Arias 41 6 0 07 Nov 2022
Neural PDE Solvers for Irregular Domains Biswajit Khara Ethan Herron Zhanhong Jiang Aditya Balu Chih-Hsuan Yang ... Anushrut Jignasu Soumik Sarkar Chinmay Hegde A. Krishnamurthy Baskar Ganapathysubramanian AI4CE 50 9 0 07 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 102 6 0 02 Nov 2022
Neural Active Learning on Heteroskedastic Distributions Savya Khosla Chew Kin Whye Jordan T. Ash Cyril Zhang Kenji Kawaguchi Alex Lamb 35 2 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 84 13 0 28 Oct 2022
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 132 10 0 25 Oct 2022
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning S. Cohan N. Kim David Rolnick M. van de Panne 52 6 0 24 Oct 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 88 19 0 24 Oct 2022
Theoretical analysis of deep neural networks for temporally dependent observations Mingliang Ma Abolfazl Safikhani 57 11 0 20 Oct 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi Yihan Wang Huan Zhang Zico Kolter Cho-Jui Hsieh 156 42 0 13 Oct 2022