Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1711.03440
Cited By
Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels
8 November 2017
Kai Zhong
Zhao Song
Inderjit S. Dhillon
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels"
40 / 40 papers shown
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024
Hongkang Li
Shuai Zhang
Yihua Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
251
7
0
12 Mar 2024
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network?
Lianke Qin
Zhao Song
Baocheng Sun
313
9
0
14 Sep 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
International Conference on Machine Learning (ICML), 2023
Mohammed Nowaz Rabbani Chowdhury
Shuai Zhang
Ming Wang
Sijia Liu
Pin-Yu Chen
MoE
202
34
0
07 Jun 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
International Conference on Learning Representations (ICLR), 2023
Hongkang Li
Ming Wang
Sijia Liu
Pin-Yu Chen
ViT
MLT
526
78
0
12 Feb 2023
Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis
International Conference on Machine Learning (ICML), 2022
Alexander Munteanu
Simon Omlor
Zhao Song
David P. Woodruff
223
16
0
26 Jun 2022
Dual Convexified Convolutional Neural Networks
Site Bai
Chuyang Ke
Jean Honorio
191
1
0
27 May 2022
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Yigit Can Alparslan
E. Moyer
I. Isozaki
Daniel Ethan Schwartz
Adam Dunlop
Shesh Dave
Edward J. Kim
MQ
AI4CE
217
7
0
16 Jan 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks
Asaf Noy
Yi Tian Xu
Y. Aflalo
Lihi Zelnik-Manor
Rong Jin
229
3
0
12 Jan 2021
Learning Graph Neural Networks with Approximate Gradient Descent
AAAI Conference on Artificial Intelligence (AAAI), 2020
Qunwei Li
Shaofeng Zou
Leon Wenliang Zhong
GNN
334
1
0
07 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
International Conference on Learning Representations (ICLR), 2020
Sitan Chen
Xiaoxiao Li
Zhao Song
Danyang Zhuo
238
13
0
23 Nov 2020
Algorithms and Hardness for Linear Algebra on Geometric Graphs
Josh Alman
T. Chu
Aaron Schild
Zhao Song
286
31
0
04 Nov 2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
Xiaoxiao Li
Yangsibo Huang
Binghui Peng
Zhao Song
Keqin Li
MIACV
196
1
0
22 Oct 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
330
25
0
06 Oct 2020
Generalized Leverage Score Sampling for Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
Jason D. Lee
Ruoqi Shen
Zhao Song
Mengdi Wang
Zheng Yu
198
45
0
21 Sep 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
International Conference on Machine Learning (ICML), 2020
Shuai Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
MLT
AI4CE
179
35
0
25 Jun 2020
Training (Overparametrized) Neural Networks in Near-Linear Time
Jan van den Brand
Binghui Peng
Zhao Song
Omri Weinstein
ODL
211
83
0
20 Jun 2020
Stationary Points of Shallow Neural Networks with Quadratic Activation Function
D. Gamarnik
Eren C. Kizildag
Ilias Zadik
195
15
0
03 Dec 2019
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Yuan Cao
Quanquan Gu
MLT
169
19
0
12 Nov 2019
Nearly Minimal Over-Parametrization of Shallow Neural Networks
Armin Eftekhari
Chaehwan Song
Volkan Cevher
180
1
0
09 Oct 2019
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2019
T. Poggio
Andrzej Banburski
Q. Liao
ODL
196
185
0
25 Aug 2019
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Zhao Song
Xin Yang
150
96
0
09 Jun 2019
Recursive Sketches for Modular Deep Learning
International Conference on Machine Learning (ICML), 2019
Badih Ghazi
Rina Panigrahy
Joshua R. Wang
260
22
0
29 May 2019
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks
Ting Yu
Junzhao Zhang
Zhanxing Zhu
MLT
70
5
0
24 May 2019
On the Learnability of Deep Random Networks
Abhimanyu Das
Sreenivas Gollapudi
Ravi Kumar
Rina Panigrahy
131
8
0
08 Apr 2019
Theory III: Dynamics and Generalization in Deep Networks
Andrzej Banburski
Q. Liao
Alycia Lee
Lorenzo Rosasco
Fernanda De La Torre
Jack Hidary
T. Poggio
AI4CE
258
3
0
12 Mar 2019
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou
Yuan Cao
Dongruo Zhou
Quanquan Gu
ODL
515
452
0
21 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization
International Conference on Machine Learning (ICML), 2018
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
AI4CE
ODL
1.4K
1,555
0
09 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks
International Conference on Machine Learning (ICML), 2018
S. Du
Jason D. Lee
Haochuan Li
Liwei Wang
Masayoshi Tomizuka
ODL
1.1K
1,189
0
09 Nov 2018
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
574
199
0
29 Oct 2018
Subgradient Descent Learns Orthogonal Dictionaries
Yu Bai
Qijia Jiang
Ju Sun
310
56
0
25 Oct 2018
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations
Samet Oymak
194
45
0
09 Sep 2018
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Inderjit S. Dhillon
134
6
0
26 May 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
235
59
0
21 May 2018
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
S. Du
Surbhi Goel
MLT
196
17
0
20 May 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition
Samet Oymak
Mahdi Soltanolkotabi
182
13
0
16 May 2018
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
S. Du
Jason D. Lee
378
280
0
03 Mar 2018
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy
H. Fu
Yuejie Chi
Yingbin Liang
FedML
327
41
0
18 Feb 2018
Learning One Convolutional Layer with Overlapping Patches
Surbhi Goel
Adam R. Klivans
Raghu Meka
MLT
130
81
0
07 Feb 2018
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
262
39
0
05 Feb 2018
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
S. Du
Jason D. Lee
Yuandong Tian
Barnabás Póczós
Aarti Singh
MLT
376
241
0
03 Dec 2017
1
