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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
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models Lachlan Simpson Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew BDL FAtt 94 2 0 29 Feb 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers A. Boroojeny Matus Telgarsky Hari Sundaram MLT 96 5 0 25 Feb 2024
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning Shuyu Yin Qixuan Zhou Fei Wen Tao Luo 74 0 0 24 Feb 2024
LoRA Training in the NTK Regime has No Spurious Local Minima Uijeong Jang Jason D. Lee Ernest K. Ryu 110 17 0 19 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network Tan Sun Junhong Lin AAML 84 3 0 06 Feb 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features Simone Bombari Marco Mondelli 90 5 0 05 Feb 2024
MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem Mohammed Sbihi Sophie Jan Nicolas P. Couellan 24 0 0 02 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems Jacob G. Elkins F. Fahimi AI4CE 83 0 0 01 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings Blaise Delattre Quentin Barthélemy Alexandre Allauzen 62 2 0 31 Jan 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 116 4 0 25 Jan 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach Sagar Shrestha Xiao Fu 85 3 0 18 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 109 11 0 22 Dec 2023
Automatic Optimisation of Normalised Neural Networks Namhoon Cho Hyo-Sang Shin 93 1 0 17 Dec 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma Sushant Veer Asher Hancock Heng Yang Marco Pavone Anirudha Majumdar 201 9 0 07 Dec 2023
Pathway to a fully data-driven geotechnics: lessons from materials informatics Stephen Wu Yu Otake Yosuke Higo Ikumasa Yoshida AI4CE 59 5 0 01 Dec 2023
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training Yefan Zhou Tianyu Pang Keqin Liu Charles H. Martin Michael W. Mahoney Yaoqing Yang 137 12 0 01 Dec 2023
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling Mingze Wang Zeping Min Lei Wu 84 3 0 24 Nov 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 68 14 0 20 Nov 2023
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories Shuhei Nitta Taiji Suzuki Albert Rodríguez Mulet A. Yaguchi Ryusuke Hirai FedML 73 0 0 15 Nov 2023
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications Yifan Zhang Joe Kileel 110 5 0 09 Nov 2023
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay Pengfei Li Jianyi Yang Adam Wierman Shaolei Ren 74 4 0 31 Oct 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 98 1 0 30 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 107 7 0 27 Oct 2023
Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle Dániel Rácz Mihaly Petreczky András Csertán Bálint Daróczy MLT 53 1 0 26 Oct 2023
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 82 3 0 26 Oct 2023
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework Weixi Weng Chun Yuan OOD 132 13 0 24 Oct 2023
Sequence Length Independent Norm-Based Generalization Bounds for Transformers Jacob Trauger Ambuj Tewari 86 12 0 19 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 67 13 0 19 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 74 7 0 09 Oct 2023
A Generalization Bound of Deep Neural Networks for Dependent Data Quan Huu Do Binh T. Nguyen L. Ho AI4CE 40 0 0 09 Oct 2023
What do larger image classifiers memorise? Michal Lukasik Vaishnavh Nagarajan A. S. Rawat A. Menon Sanjiv Kumar 93 5 0 09 Oct 2023
Understanding prompt engineering may not require rethinking generalization Victor Akinwande Yiding Jiang Dylan Sam J. Zico Kolter VLM VPVLM 154 8 0 06 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 106 14 0 04 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 89 4 0 03 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
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 57 0 0 02 Oct 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 103 20 0 28 Sep 2023
Fantastic Generalization Measures are Nowhere to be Found Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 91 15 0 24 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 46 4 0 12 Sep 2023
The fine print on tempered posteriors Konstantinos Pitas Julyan Arbel 68 1 0 11 Sep 2023
Implicit regularization of deep residual networks towards neural ODEs Pierre Marion Yu-Han Wu Michael E. Sander Gérard Biau 134 17 0 03 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 94 1 0 01 Sep 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 61 4 0 29 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins Tiberiu Sosea Cornelia Caragea 84 12 0 17 Aug 2023
Size Lowerbounds for Deep Operator Networks Anirbit Mukherjee Amartya Roy AI4CE 68 3 0 11 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 86 1 0 03 Jul 2023
Sparsity-aware generalization theory for deep neural networks Ramchandran Muthukumar Jeremias Sulam MLT 56 7 0 01 Jul 2023
MARF: The Medial Atom Ray Field Object Representation Peder Bergebakken Sundt T. Theoharis 56 5 0 30 Jun 2023