Spectrally-normalized margin bounds for neural networks

26 June 2017

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

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Title
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 29 0 0 10 May 2025
Learning Guarantee of Reward Modeling Using Deep Neural Networks Yuanhang Luo Yeheng Ge Ruijian Han Guohao Shen 31 0 0 10 May 2025
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings Nong Minh Hieu Antoine Ledent 49 0 0 08 May 2025
Reasoning without Regret Tarun Chitra OffRL LRM 30 0 0 14 Apr 2025
Architecture independent generalization bounds for overparametrized deep ReLU networks Thomas Chen Chun-Kai Kevin Chien Patrícia Muñoz Ewald Andrew G. Moore 23 0 0 08 Apr 2025
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction M. Takamoto Daniel Oñoro-Rubio Wiem Ben-Rim Takashi Maruyama Bhushan Kotnis 39 1 0 04 Apr 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 44 0 0 21 Mar 2025
HiQ-Lip: The First Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks Haoqi He Yan Xiao 43 0 0 20 Mar 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 56 0 0 18 Mar 2025
When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective Alireza Mousavi-Hosseini Clayton Sanford Denny Wu Murat A. Erdogdu 48 0 0 14 Mar 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 50 0 0 12 Mar 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models Sajjad Hashemian Mohammad Saeed Arvenaghi 53 0 0 11 Mar 2025
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models Khoat Than Dat Phan BDL AAML VLM 60 0 0 10 Mar 2025
APECS: Adaptive Personalized Control System Architecture Marius F. R. Juston Alex Gisi William R. Norris Dustin Nottage A. Soylemezoglu 41 0 0 10 Mar 2025
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability Lijia Yu Yibo Miao Yifan Zhu Xiao-Shan Gao Lijun Zhang 48 0 0 06 Mar 2025
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability Chenhui Xu Dancheng Liu Jiajie Li Amir Nassereldine Zhaohui Li Jinjun Xiong LRM 62 0 0 05 Mar 2025
A Near Complete Nonasymptotic Generalization Theory For Multilayer Neural Networks: Beyond the Bias-Variance Tradeoff Hao Yu Xiangyang Ji AI4CE 58 0 0 03 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data Hui Li Zhiguo Wang Bohui Chen Li Sheng 29 0 0 01 Mar 2025
L-Lipschitz Gershgorin ResNet Network Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 46 0 0 28 Feb 2025
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals Nico Pelleriti Max Zimmer E. Wirth S. Pokutta 36 0 0 24 Feb 2025
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization Zixuan Gong Xiaolin Hu Huayi Tang Yong Liu 33 0 0 24 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 102 0 0 20 Feb 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees Ally Yalei Du Eric Huang Dravyansh Sharma 56 0 0 18 Feb 2025
Understanding Generalization in Transformers: Error Bounds and Training Dynamics Under Benign and Harmful Overfitting Yingying Zhang Z. Wu Jian Li Y. Liu MLT AI4CE 39 0 0 18 Feb 2025
SEER: Self-Explainability Enhancement of Large Language Models' Representations Guanxu Chen Dongrui Liu Tao Luo Jing Shao LRM MILM 67 1 0 07 Feb 2025
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention Arya Honarpisheh Mustafa Bozdag M. Sznaier Octavia Camps Mamba 67 1 0 03 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 49 0 0 02 Feb 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 41 0 0 28 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 76 1 0 22 Jan 2025
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 43 1 0 10 Jan 2025
Adversarially robust generalization theory via Jacobian regularization for deep neural networks Dongya Wu Xin Li AAML 72 0 0 17 Dec 2024
Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization Son Minh Nguyen Linh Duy Tran Duc Viet Le Paul J. M Havinga 67 0 0 13 Dec 2024
GradAlign for Training-free Model Performance Inference Yuxuan Li Yunhui Guo 62 0 0 29 Nov 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models Yunzhe Hu Difan Zou Dong Xu 71 1 0 26 Nov 2024
Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm Rajesh Shrestha Mingjie Shao Mingyi Hong Wing-Kin Ma Xiao Fu 66 0 0 25 Nov 2024
On Generalization Bounds for Neural Networks with Low Rank Layers Andrea Pinto Akshay Rangamani T. Poggio AI4CE 82 1 0 20 Nov 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context Zihao Li Yuan Cao Cheng Gao Yihan He Han Liu Jason M. Klusowski Jianqing Fan Mengdi Wang MLT 52 6 0 16 Nov 2024
Understanding Generalization in Quantum Machine Learning with Margins Tak Hur Daniel K. Park AI4CE 26 1 0 11 Nov 2024
Generalization and Risk Bounds for Recurrent Neural Networks Xuewei Cheng Ke Huang Shujie Ma 26 1 0 05 Nov 2024
How Analysis Can Teach Us the Optimal Way to Design Neural Operators Vu-Anh Le Mehmet Dik 34 0 0 04 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 36 0 0 03 Nov 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation Tian Xu Zhilong Zhang Ruishuo Chen Yihao Sun Yang Yu 30 1 0 01 Nov 2024
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity Abulikemu Abuduweili Changliu Liu 19 1 0 30 Oct 2024
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes Julius Martinetz C. Linse Thomas Martinetz 23 0 0 22 Oct 2024
Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini Adel Javanmard Murat A. Erdogdu OOD AAML 42 1 0 21 Oct 2024
The Fair Language Model Paradox Andrea Pinto Tomer Galanti Randall Balestriero 25 0 0 15 Oct 2024
On Rank-Dependent Generalisation Error Bounds for Transformers Lan V. Truong 34 2 0 15 Oct 2024
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri Christos Thrampoulidis Arya Mazumdar MLT 33 0 0 13 Oct 2024
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks Xianyang Zhang Huijuan Zhou 30 1 0 10 Oct 2024