Generalization bounds for deep convolutional neural networks

29 May 2019

Papers citing "Generalization bounds for deep convolutional neural networks"

22 / 22 papers shown

Title
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 45 5 0 02 Sep 2024
A Margin-based Multiclass Generalization Bound via Geometric Complexity Michael Munn Benoit Dherin Javier Gonzalvo UQCV 38 2 0 28 May 2024
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 24 9 0 02 Jun 2023
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks Puyu Wang Yunwen Lei Di Wang Yiming Ying Ding-Xuan Zhou MLT 27 3 0 26 May 2023
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks Zihao Wang Lei Wu 23 19 0 15 May 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan H. Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 32 11 0 24 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 23 40 0 09 Feb 2023
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 23 9 0 15 Nov 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 30 8 0 30 Sep 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency Yangbangyan Jiang Xiaodan Li Xiaodan Li YueFeng Chen Yuan He Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 9 18 0 26 Sep 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 33 9 0 07 Jun 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence Boyan Gao H. Gouk Haebeom Lee Timothy M. Hospedales 11 6 0 05 Mar 2022
On the Equivalence between Neural Network and Support Vector Machine Yilan Chen Wei Huang Lam M. Nguyen Tsui-Wei Weng AAML 17 18 0 11 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 49 54 0 08 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 16 11 0 05 Nov 2021
Inductive Biases and Variable Creation in Self-Attention Mechanisms Benjamin L. Edelman Surbhi Goel Sham Kakade Cyril Zhang 27 115 0 19 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning Ching-Hsun Tseng Liu Cheng Shin-Jye Lee Xiaojun Zeng 38 5 0 01 Oct 2021
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 31 66 0 28 Jul 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 19 155 0 17 Jun 2021
Generalization bounds via distillation Daniel J. Hsu Ziwei Ji Matus Telgarsky Lan Wang FedML 13 32 0 12 Apr 2021
Relative Deviation Margin Bounds Corinna Cortes M. Mohri A. Suresh 12 14 0 26 Jun 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 116 577 0 27 Feb 2015