Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross
Entropy

Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy

18 February 2018

Papers citing "Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy"

13 / 13 papers shown

Title
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 41 4 0 12 Mar 2024
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity Hongkang Li Hao Wu Sijia Liu Pin-Yu Chen ViT MLT 37 57 0 12 Feb 2023
Local Identifiability of Deep ReLU Neural Networks: the Theory Joachim Bona-Pellissier Franccois Malgouyres F. Bachoc FAtt 67 6 0 15 Jun 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang Hao Wu Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 41 22 0 21 Jan 2022
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 41 14 0 24 Dec 2021
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks Feiqing Huang Yuefeng Si Yao Zheng Guodong Li 33 1 0 09 Dec 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong UQCV MLT 31 13 0 12 Oct 2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit Ye Xue Vincent K. N. Lau Songfu Cai 25 3 0 21 Apr 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 40 165 0 15 Dec 2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 29 81 0 31 Oct 2019
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization G. Wang G. Giannakis Jie Chen MLT 24 131 0 14 Aug 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 21 12 0 16 May 2018
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016