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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
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift Aayush Mishra Anqi Liu 17 0 0 17 Jun 2025
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel Yilan Chen Zhichao Wang Wei Huang Andi Han Taiji Suzuki Arya Mazumdar MLT 15 0 0 12 Jun 2025
On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH) Mostafa Eslami Maryam Babazadeh 26 0 0 08 Jun 2025
Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing Diaaeldin Taha James Chapman Marzieh Eidi Karel Devriendt Guido Montúfar 28 0 0 06 Jun 2025
Sparse Autoencoders, Again? Yin Lu X. Zhu Tong He David Wipf 96 0 0 05 Jun 2025
Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation Theodore Barfoot Luis C. Garcia-Peraza-Herrera Samet Akcay Ben Glocker Tom Vercauteren UQCV 132 0 0 04 Jun 2025
Models of Heavy-Tailed Mechanistic Universality Liam Hodgkinson Zhichao Wang Michael W. Mahoney 68 1 0 04 Jun 2025
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning Zihang Liu Tianyu Pang Oleg Balabanov Chaoqun Yang Tianjin Huang L. Yin Yaoqing Yang Shiwei Liu LRM 46 1 0 01 Jun 2025
Scalable Complexity Control Facilitates Reasoning Ability of LLMs Liangkai Hang Junjie Yao Zhiwei Bai Tianyi Chen Yang Chen ... Feiyu Xiong Y. Zhang Weinan E Hongkang Yang Zhi-hai Xu LRM 46 0 0 29 May 2025
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes I. Harel Yonathan Wolanowsky Gal Vardi Nathan Srebro Daniel Soudry AI4CE 75 0 0 25 May 2025
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss Bo-Han Lai Pin-Han Huang Bo-Han Kung Shang-Tse Chen 70 0 0 21 May 2025
Learning Guarantee of Reward Modeling Using Deep Neural Networks Yuanhang Luo Yeheng Ge Ruijian Han Guohao Shen 69 0 0 10 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 99 0 0 10 May 2025
Reasoning without Regret Tarun Chitra OffRL LRM 79 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 158 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 69 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 77 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 74 0 0 20 Mar 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks U. Syed Bin Hu BDL 97 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 105 1 0 14 Mar 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 113 1 0 12 Mar 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models Sajjad Hashemian Mohammad Saeed Arvenaghi 92 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 102 0 0 10 Mar 2025
APECS: Adaptive Personalized Control System Architecture Marius F. R. Juston Alex Gisi William R. Norris Dustin Nottage A. Soylemezoglu 99 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 88 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 93 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 75 0 0 03 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 92 0 0 02 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data Hui Li Zhiguo Wang Bohui Chen Li Sheng 56 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 136 0 0 28 Feb 2025
L-Lipschitz Gershgorin ResNet Network Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 90 0 0 28 Feb 2025
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization Zixuan Gong Xiaolin Hu Huayi Tang Yong Liu 144 0 0 24 Feb 2025
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals Nico Pelleriti Max Zimmer Elias Wirth Sebastian Pokutta 94 2 0 20 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 355 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 Yang Liu MLT AI4CE 58 1 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 155 1 0 18 Feb 2025
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention Arya Honarpisheh Mustafa Bozdag Octavia Camps Mario Sznaier Mamba 169 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 106 0 0 02 Feb 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 149 0 0 28 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 214 1 0 22 Jan 2025
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 222 1 0 10 Jan 2025
Adversarially robust generalization theory via Jacobian regularization for deep neural networks Dongya Wu Xin Li AAML 107 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 89 0 0 13 Dec 2024
GradAlign for Training-free Model Performance Inference Yuxuan Li Yunhui Guo 100 0 0 29 Nov 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models Yunzhe Hu Difan Zou Dong Xu 133 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 101 0 0 25 Nov 2024
On Generalization Bounds for Neural Networks with Low Rank Layers Andrea Pinto Akshay Rangamani T. Poggio AI4CE 123 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 166 8 0 16 Nov 2024
Understanding Generalization in Quantum Machine Learning with Margins Tak Hur Daniel K. Park AI4CE 59 1 0 11 Nov 2024
Generalization and Risk Bounds for Recurrent Neural Networks Xuewei Cheng Ke Huang Shujie Ma 111 1 0 05 Nov 2024