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Norm-Based Capacity Control in Neural Networks

27 February 2015

Papers citing "Norm-Based Capacity Control in Neural Networks"

50 / 407 papers shown

Title
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 69 7 0 06 Nov 2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 88 1 0 02 Nov 2023
Addressing GAN Training Instabilities via Tunable Classification Losses Monica Welfert Gowtham R. Kurri Kyle Otstot Lalitha Sankar 67 13 0 27 Oct 2023
To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets Darshil Doshi Aritra Das Tianyu He Andrey Gromov OOD 110 7 0 19 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 76 7 0 09 Oct 2023
Understanding prompt engineering may not require rethinking generalization Victor Akinwande Yiding Jiang Dylan Sam J. Zico Kolter VLM VPVLM 159 8 0 06 Oct 2023
A path-norm toolkit for modern networks: consequences, promises and challenges Antoine Gonon Nicolas Brisebarre E. Riccietti Rémi Gribonval 83 6 0 02 Oct 2023
Fantastic Generalization Measures are Nowhere to be Found Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 91 15 0 24 Sep 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation Yulong Zhang Shu Han Chen Weisen Jiang Yu Zhang Jiangang Lu James T. Kwok DiffM 67 7 0 23 Sep 2023
A Neural Network Based Choice Model for Assortment Optimization Hanrui Wang Zhongze Cai Xiaocheng Li Kalyan Talluri 47 2 0 10 Aug 2023
Understanding Deep Neural Networks via Linear Separability of Hidden Layers Chao Zhang Xinyuan Chen Wensheng Li Lixue Liu Wei Wu Dacheng Tao 53 3 0 26 Jul 2023
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks Naman Maheshwari Nicholas Malaya Scott A. Moe J. Kulkarni S. Gurumurthi AAML 30 0 0 24 Jul 2023
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space Zhengdao Chen 90 1 0 03 Jul 2023
Sparsity-aware generalization theory for deep neural networks Ramchandran Muthukumar Jeremias Sulam MLT 56 7 0 01 Jul 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 69 6 0 11 Jun 2023
On Size-Independent Sample Complexity of ReLU Networks Mark Sellke 72 6 0 03 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 68 7 0 01 Jun 2023
Embedding Inequalities for Barron-type Spaces Lei Wu 85 0 0 30 May 2023
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching E. Guha Prasanjit Dubey X. Huo MLT 56 1 0 30 May 2023
Reducing Communication for Split Learning by Randomized Top-k Sparsification Fei Zheng Chaochao Chen Lingjuan Lyu Binhui Yao FedML 79 11 0 29 May 2023
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences A. F. Pour H. Ashtiani 73 0 0 28 May 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent Lei Wu Weijie J. Su MLT 93 23 0 27 May 2023
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks Puyu Wang Yunwen Lei Di Wang Yiming Ying Ding-Xuan Zhou MLT 63 4 0 26 May 2023
Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks Roey Magen Ohad Shamir 59 1 0 25 May 2023
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models Suzanna Parkinson Greg Ongie Rebecca Willett 138 6 0 24 May 2023
Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator Yuka Hashimoto Masahiro Ikeda Hachem Kadri 110 9 0 23 May 2023
Exploring the Complexity of Deep Neural Networks through Functional Equivalence Guohao Shen 103 4 0 19 May 2023
Generalization Bounds for Neural Belief Propagation Decoders Sudarshan Adiga Xin Xiao Ravi Tandon Bane V. Vasic Tamal Bose BDL AI4CE 85 5 0 17 May 2023
Generalization bounds for neural ordinary differential equations and deep residual networks Pierre Marion 79 21 0 11 May 2023
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization Geng Li G. Wang Jie Ding 51 3 0 07 May 2023
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 123 3 0 01 May 2023
Generalization and Estimation Error Bounds for Model-based Neural Networks Avner Shultzman Eyar Azar M. Rodrigues Yonina C. Eldar 63 7 0 19 Apr 2023
Optimal rates of approximation by shallow ReLU $^k$ neural networks and applications to nonparametric regression Yunfei Yang Ding-Xuan Zhou 194 22 0 04 Apr 2023
Bayes Complexity of Learners vs Overfitting Grzegorz Gluch R. Urbanke UQCV BDL 15 1 0 13 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 102 18 0 11 Mar 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks Andong Wang Chong Li Mingyuan Bai Zhong Jin Guoxu Zhou Qianchuan Zhao OOD AAML 49 5 0 01 Mar 2023
$(α_D,α_G)$ -GANs: Addressing GAN Training Instabilities via Dual Objectives Monica Welfert Kyle Otstot Gowtham R. Kurri Lalitha Sankar 62 5 0 28 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning Xin Zou Weiwei Liu AAML 66 11 0 21 Feb 2023
Generalization and Stability of Interpolating Neural Networks with Minimal Width Hossein Taheri Christos Thrampoulidis 105 16 0 18 Feb 2023
Koopman-based generalization bound: New aspect for full-rank weights Yuka Hashimoto Sho Sonoda Isao Ishikawa Atsushi Nitanda Taiji Suzuki 45 3 0 12 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
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 67 4 0 23 Dec 2022
Statistical guarantees for sparse deep learning Johannes Lederer 40 11 0 11 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 134 10 0 01 Dec 2022
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 60 23 0 27 Nov 2022
Why the pseudo label based semi-supervised learning algorithm is effective? Zeping Min Qian Ge Cheng Tai MLT 62 4 0 18 Nov 2022
On the Sample Complexity of Two-Layer Networks: Lipschitz vs. Element-Wise Lipschitz Activation Amit Daniely Elad Granot MLT 74 1 0 17 Nov 2022
Do highly over-parameterized neural networks generalize since bad solutions are rare? Julius Martinetz T. Martinetz 61 1 0 07 Nov 2022