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Universal Consistency of Deep Convolutional Neural Networks

Universal Consistency of Deep Convolutional Neural Networks

23 June 2021
Shao-Bo Lin
Kaidong Wang
Yao Wang
Ding-Xuan Zhou
ArXivPDFHTML

Papers citing "Universal Consistency of Deep Convolutional Neural Networks"

13 / 13 papers shown
Title
Component-based Sketching for Deep ReLU Nets
Component-based Sketching for Deep ReLU Nets
Di Wang
Shao-Bo Lin
Deyu Meng
Feilong Cao
38
1
0
21 Sep 2024
Stochastic Gradient Descent for Two-layer Neural Networks
Stochastic Gradient Descent for Two-layer Neural Networks
Dinghao Cao
Zheng-Chu Guo
Lei Shi
MLT
37
0
0
10 Jul 2024
On the rates of convergence for learning with convolutional neural
  networks
On the rates of convergence for learning with convolutional neural networks
Yunfei Yang
Han Feng
Ding-Xuan Zhou
42
3
0
25 Mar 2024
Optimal Approximation and Learning Rates for Deep Convolutional Neural
  Networks
Optimal Approximation and Learning Rates for Deep Convolutional Neural Networks
Shao-Bo Lin
39
1
0
07 Aug 2023
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction
  and Learning
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning
Zhixiong Han
Baichen Liu
Shao-Bo Lin
Ding-Xuan Zhou
19
4
0
30 Jul 2023
Optimal rates of approximation by shallow ReLU$^k$ neural networks and
  applications to nonparametric regression
Optimal rates of approximation by shallow ReLUk^kk neural networks and applications to nonparametric regression
Yunfei Yang
Ding-Xuan Zhou
59
19
0
04 Apr 2023
On the Connection between $L_p$ and Risk Consistency and its
  Implications on Regularized Kernel Methods
On the Connection between LpL_pLp​ and Risk Consistency and its Implications on Regularized Kernel Methods
Hannes Köhler
42
1
0
27 Mar 2023
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction
  for Uncertainty Quantification
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification
Xing Yan
Yonghua Su
Wenxuan Ma
UQCV
49
2
0
26 Nov 2022
Deep Learning is Provably Robust to Symmetric Label Noise
Deep Learning is Provably Robust to Symmetric Label Noise
Carey E. Priebe
Ningyuan Huang
Soledad Villar
Cong Mu
Li-Wei Chen
NoLa
31
2
0
26 Oct 2022
Learning Ability of Interpolating Deep Convolutional Neural Networks
Learning Ability of Interpolating Deep Convolutional Neural Networks
Tiancong Zhou
X. Huo
AI4CE
43
13
0
25 Oct 2022
Stability and Generalization Analysis of Gradient Methods for Shallow
  Neural Networks
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei
Rong Jin
Yiming Ying
MLT
53
19
0
19 Sep 2022
Optimal Convergence Rates of Deep Convolutional Neural Networks:
  Additive Ridge Functions
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions
Zhiying Fang
Guang Cheng
MLT
42
2
0
24 Feb 2022
Approximation Properties of Deep ReLU CNNs
Approximation Properties of Deep ReLU CNNs
Juncai He
Lin Li
Jinchao Xu
21
19
0
01 Sep 2021
1