Learning Non-overlapping Convolutional Neural Networks with Multiple
Kernels

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

8 November 2017

Inderjit S. Dhillon

Papers citing "Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels"

18 / 18 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
Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis Alexander Munteanu Simon Omlor Zhao-quan Song David P. Woodruff 27 15 0 26 Jun 2022
Dual Convexified Convolutional Neural Networks Site Bai Chuyang Ke Jean Honorio 24 1 0 27 May 2022
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Asaf Noy Yi Tian Xu Y. Aflalo Lihi Zelnik-Manor R. L. Jin 31 3 0 12 Jan 2021
Learning Graph Neural Networks with Approximate Gradient Descent Qunwei Li Shaofeng Zou Leon Wenliang Zhong GNN 32 1 0 07 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao-quan Song Danyang Zhuo 19 13 0 23 Nov 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration Yuchen Zhou Anru R. Zhang Lili Zheng Yazhen Wang 24 22 0 06 Oct 2020
Generalized Leverage Score Sampling for Neural Networks J. Lee Ruoqi Shen Zhao-quan Song Mengdi Wang Zheng Yu 21 42 0 21 Sep 2020
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 22 446 0 21 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du J. Lee Haochuan Li Liwei Wang M. Tomizuka ODL 26 1,122 0 09 Nov 2018
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu Yuanzhi Li Zhao-quan Song 18 191 0 29 Oct 2018
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 12 51 0 25 Oct 2018
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network? S. Du Yining Wang Xiyu Zhai Sivaraman Balakrishnan Ruslan Salakhutdinov Aarti Singh SSL 13 57 0 21 May 2018
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps S. Du Surbhi Goel MLT 20 17 0 20 May 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 21 12 0 16 May 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 38 39 0 05 Feb 2018
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016