Spectrally-normalized margin bounds for neural networks

26 June 2017

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

50 / 804 papers shown

Title
Learning Guarantee of Reward Modeling Using Deep Neural Networks Yuanhang Luo Yeheng Ge Ruijian Han Guohao Shen 36 0 0 10 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 29 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 35 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 47 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 51 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 48 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 50 0 0 14 Mar 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 55 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 46 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 53 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 70 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 60 0 0 03 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 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
FANformer: Improving Large Language Models Through Effective Periodicity Modeling Yihong Dong Ge Li Xue Jiang Yongding Tao Kechi Zhang ... Huanyu Liu Jiazheng Ding Jia Li Jinliang Deng Hong Mei AI4TS 46 0 0 28 Feb 2025
L-Lipschitz Gershgorin ResNet Network Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 51 0 0 28 Feb 2025
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals Nico Pelleriti Max Zimmer Elias Wirth Sebastian Pokutta 44 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 38 0 0 24 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 109 0 0 20 Feb 2025
Understanding Generalization in Transformers: Error Bounds and Training Dynamics Under Benign and Harmful Overfitting Yingying Zhang Zhikai Wu Jian Li Yong-Jin Liu MLT AI4CE 49 0 0 18 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
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 Octavia Camps Mario Sznaier Mamba 83 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 55 0 0 02 Feb 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 57 0 0 28 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 94 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 79 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 69 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 74 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 70 0 0 25 Nov 2024
On Generalization Bounds for Neural Networks with Low Rank Layers Andrea Pinto Akshay Rangamani T. Poggio AI4CE 86 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 55 6 0 16 Nov 2024
Understanding Generalization in Quantum Machine Learning with Margins Tak Hur Daniel K. Park AI4CE 34 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 42 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 32 1 0 01 Nov 2024
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity Abulikemu Abuduweili Changliu Liu 26 1 0 30 Oct 2024
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes Julius Martinetz C. Linse Thomas Martinetz 26 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 44 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 38 2 0 15 Oct 2024
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri Christos Thrampoulidis Arya Mazumdar MLT 36 0 0 13 Oct 2024