Spectrally-normalized margin bounds for neural networks

26 June 2017

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

50 / 803 papers shown

Title
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach Sagar Shrestha Xiao Fu 23 3 0 18 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
Automatic Optimisation of Normalised Neural Networks Namhoon Cho Hyo-Sang Shin 27 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 47 8 0 07 Dec 2023
Pathway to a fully data-driven geotechnics: lessons from materials informatics Stephen Wu Yu Otake Yosuke Higo Ikumasa Yoshida AI4CE 16 4 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 34 7 0 01 Dec 2023
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling Mingze Wang Zeping Min Lei Wu 30 3 0 24 Nov 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 21 12 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 12 0 0 15 Nov 2023
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications Yifan Zhang Joe Kileel 39 4 0 09 Nov 2023
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay Pengfei Li Jianyi Yang Adam Wierman Shaolei Ren 28 2 0 31 Oct 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 23 1 0 30 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo P. Krishnamurthy Farshad Khorrami Siddharth Garg 36 5 0 27 Oct 2023
Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle Dániel Rácz M. Petreczky András Csertán Bálint Daróczy MLT 21 1 0 26 Oct 2023
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 23 3 0 26 Oct 2023
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework Weixi Weng Chun Yuan OOD 24 11 0 24 Oct 2023
Sequence Length Independent Norm-Based Generalization Bounds for Transformers Jacob Trauger Ambuj Tewari 31 11 0 19 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 21 12 0 19 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 32 6 0 09 Oct 2023
A Generalization Bound of Deep Neural Networks for Dependent Data Quan Huu Do Binh T. Nguyen L. Ho AI4CE 11 0 0 09 Oct 2023
What do larger image classifiers memorise? Michal Lukasik Vaishnavh Nagarajan A. S. Rawat A. Menon Sanjiv Kumar 30 5 0 09 Oct 2023
Understanding prompt engineering may not require rethinking generalization Victor Akinwande Yiding Jiang Dylan Sam J. Zico Kolter VLM VPVLM 120 7 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 34 9 0 04 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 37 4 0 03 Oct 2023
A path-norm toolkit for modern networks: consequences, promises and challenges Antoine Gonon Nicolas Brisebarre E. Riccietti Rémi Gribonval 24 6 0 02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 23 0 0 02 Oct 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
Fantastic Generalization Measures are Nowhere to be Found Michael C. Gastpar Ido Nachum Jonathan Shafer T. Weinberger 23 13 0 24 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 14 4 0 12 Sep 2023
The fine print on tempered posteriors Konstantinos Pitas Julyan Arbel 30 1 0 11 Sep 2023
Implicit regularization of deep residual networks towards neural ODEs P. Marion Yu-Han Wu Michael E. Sander Gérard Biau 31 14 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 40 1 0 01 Sep 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 23 3 0 29 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins Tiberiu Sosea Cornelia Caragea 14 12 0 17 Aug 2023
Two Phases of Scaling Laws for Nearest Neighbor Classifiers Pengkun Yang J. Zhang 19 0 0 16 Aug 2023
Size Lowerbounds for Deep Operator Networks Anirbit Mukherjee Amartya Roy AI4CE 22 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 25 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 9 0 0 24 Jul 2023
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space Zhengdao Chen 41 1 0 03 Jul 2023
Sparsity-aware generalization theory for deep neural networks Ramchandran Muthukumar Jeremias Sulam MLT 16 4 0 01 Jul 2023
MARF: The Medial Atom Ray Field Object Representation Peder Bergebakken Sundt T. Theoharis 23 5 0 30 Jun 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 24 9 0 26 Jun 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent Haoyuan Sun Khashayar Gatmiry Kwangjun Ahn Navid Azizan AI4CE 21 11 0 24 Jun 2023
Catching Image Retrieval Generalization Maksim Zhdanov I. Karpukhin VLM 19 0 0 23 Jun 2023
Verifying Global Neural Network Specifications using Hyperproperties David Boetius Stefan Leue AAML 18 0 0 21 Jun 2023
Enlarged Large Margin Loss for Imbalanced Classification S. Kato Kazuhiro Hotta 23 1 0 15 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Yan Sun Li Shen Dacheng Tao FedML 20 14 0 09 Jun 2023
Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen Yuheng Bu Greg Wornell 27 1 0 08 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 30 34 0 06 Jun 2023
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization Shahana Ibrahim Tri Nguyen Xiao Fu 23 19 0 05 Jun 2023