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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
How Analysis Can Teach Us the Optimal Way to Design Neural Operators Vu-Anh Le Mehmet Dik 76 0 0 04 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 61 1 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 88 1 0 01 Nov 2024
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity Abulikemu Abuduweili Changliu Liu 29 2 0 30 Oct 2024
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes Julius Martinetz C. Linse Thomas Martinetz 82 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 170 1 0 21 Oct 2024
The Fair Language Model Paradox Andrea Pinto Tomer Galanti Randall Balestriero 87 1 0 15 Oct 2024
On Rank-Dependent Generalisation Error Bounds for Transformers Lan V. Truong 86 2 0 15 Oct 2024
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri Christos Thrampoulidis Arya Mazumdar MLT 119 0 0 13 Oct 2024
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks Xianyang Zhang Huijuan Zhou 78 3 0 10 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 61 0 0 10 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 116 3 0 09 Oct 2024
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles A. Boroojeny Hari Sundaram Varun Chandrasekaran AAML 60 1 0 07 Oct 2024
Fundamental Limitations on Subquadratic Alternatives to Transformers Josh Alman Hantao Yu 110 4 0 05 Oct 2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices Yuka Hashimoto Tomoharu Iwata 78 0 0 03 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 117 3 0 03 Oct 2024
Graph Classification via Reference Distribution Learning: Theory and Practice Zixiao Wang Jicong Fan 55 0 0 21 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 93 0 0 08 Aug 2024
Generalization bounds for regression and classification on adaptive covering input domains Wen-Liang Hwang 67 0 0 29 Jul 2024
A Generalization Bound for Nearly-Linear Networks Eugene Golikov 78 0 0 09 Jul 2024
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning Arthur Jacot Seok Hoan Choi Yuxiao Wen AI4CE 141 2 0 08 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 94 18 0 01 Jul 2024
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression Dongya Wu Xin Li 65 0 0 26 Jun 2024
MD tree: a model-diagnostic tree grown on loss landscape Yefan Zhou Jianlong Chen Qinxue Cao Konstantin Schürholt Yaoqing Yang 96 2 0 24 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 89 1 0 14 Jun 2024
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize Samuel Tan P. Frazier 60 0 0 12 Jun 2024
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 158 0 0 11 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization Nikolaos Tsilivis Natalie Frank Nathan Srebro Julia Kempe 103 4 0 07 Jun 2024
Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors Bingheng Wang Rui Huang Kuankuan Sima Lin Zhao 97 0 0 07 Jun 2024
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding Bicheng Xu L. Lakshmanan VLM 114 2 0 06 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack Lijia Yu Shuang Liu Yibo Miao Xiao-Shan Gao Lijun Zhang AAML 89 7 0 02 Jun 2024
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints Dániel Rácz Mihaly Petreczky Bálint Daróczy 154 1 0 30 May 2024
A Margin-based Multiclass Generalization Bound via Geometric Complexity Michael Munn Benoit Dherin Javier Gonzalvo UQCV 81 2 0 28 May 2024
Spectral Truncation Kernels: Noncommutativity in $C^*$ -algebraic Kernel Machines Yuka Hashimoto Ayoub Hafid Masahiro Ikeda Hachem Kadri 79 2 0 28 May 2024
How many samples are needed to train a deep neural network? Pegah Golestaneh Mahsa Taheri Johannes Lederer 76 4 0 26 May 2024
Spectral complexity of deep neural networks Simmaco Di Lillo Domenico Marinucci Michele Salvi Stefano Vigogna BDL 171 2 0 15 May 2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning Jaejun Lee Minsung Hwang J. Whang 68 1 0 10 May 2024
Model Reconstruction Using Counterfactual Explanations: Mitigating the Decision Boundary Shift Pasan Dissanayake Sanghamitra Dutta 85 1 0 08 May 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 94 11 0 06 May 2024
Misclassification bounds for PAC-Bayesian sparse deep learning The Tien Mai UQCV BDL 111 3 0 02 May 2024
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation Chanwoo Park Mingyang Liu Dingwen Kong Kaiqing Zhang Asuman Ozdaglar 141 41 0 30 Apr 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks Fanghui Liu L. Dadi Volkan Cevher 133 2 0 29 Apr 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets Benjamin Dupuis Paul Viallard George Deligiannidis Umut Simsekli 129 5 0 26 Apr 2024
A Survey of Deep Long-Tail Classification Advancements Charika De Alvis Suranga Seneviratne 98 2 0 24 Apr 2024
DNA: Differentially private Neural Augmentation for contact tracing Rob Romijnders Christos Louizos Yuki M. Asano Max Welling FedML 86 0 0 20 Apr 2024
QGen: On the Ability to Generalize in Quantization Aware Training Mohammadhossein Askarihemmat Ahmadreza Jeddi Reyhane Askari Hemmat Ivan Lazarevich Alexander Hoffman Sudhakar Sah Ehsan Saboori Yvon Savaria Jean-Pierre David MQ 99 1 0 17 Apr 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 83 0 0 31 Mar 2024
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study Jinze Zhao Peihao Wang Zhangyang Wang MoE 64 2 0 26 Mar 2024
On the Generalization Ability of Unsupervised Pretraining Yuyang Deng Junyuan Hong Jiayu Zhou M. Mahdavi SSL 94 5 0 11 Mar 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora 79 2 0 06 Mar 2024