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Recent advances in deep learning theory

Recent advances in deep learning theory

20 December 2020
Fengxiang He
Dacheng Tao
    AI4CE
ArXivPDFHTML

Papers citing "Recent advances in deep learning theory"

15 / 15 papers shown
Title
An Analysis Framework for Understanding Deep Neural Networks Based on Network Dynamics
An Analysis Framework for Understanding Deep Neural Networks Based on Network Dynamics
Yuchen Lin
Yong Zhang
Sihan Feng
Hong Zhao
36
0
0
05 Jan 2025
Why Quantization Improves Generalization: NTK of Binary Weight Neural
  Networks
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks
Kaiqi Zhang
Ming Yin
Yu-Xiang Wang
MQ
16
4
0
13 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
21
71
0
08 Jun 2022
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Yonghao Xu
Fengxiang He
Bo Du
Dacheng Tao
Liangpei Zhang
GAN
24
15
0
15 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
23
2
0
12 Dec 2021
FIBA: Frequency-Injection based Backdoor Attack in Medical Image
  Analysis
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
Yu Feng
Benteng Ma
Jing Zhang
Shanshan Zhao
Yong-quan Xia
Dacheng Tao
AAML
34
84
0
02 Dec 2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection
  Transformers
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Wen Wang
Yang Cao
Jing Zhang
Fengxiang He
Zhengjun Zha
Yonggang Wen
Dacheng Tao
ViT
13
94
0
27 Jul 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
124
165
0
29 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
64
25
0
01 Jan 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
110
146
0
06 Nov 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
156
308
0
05 Nov 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
283
10,613
0
19 Feb 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
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