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Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
v1v2v3 (latest)

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 February 2015
Sergey Ioffe
Christian Szegedy
    OOD
ArXiv (abs)PDFHTML

Papers citing "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"

50 / 11,341 papers shown
Title
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Zeqiang Lai
Ying Fu
85
0
0
27 Nov 2022
Neural Font Rendering
Neural Font Rendering
Daniel Anderson
Ariel Shamir
Ohad Fried
GANAI4CE
53
1
0
27 Nov 2022
Fingerprint Pore Detection: A Survey
Fingerprint Pore Detection: A Survey
Azim Ibragimov
Maurício Pamplona Segundo
32
0
0
27 Nov 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
Alex Schwing
GAN
60
17
0
27 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and
  Identifiability in Multi-Task Learning
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
Sébastien Lachapelle
T. Deleu
Divyat Mahajan
Ioannis Mitliagkas
Yoshua Bengio
Simon Lacoste-Julien
Quentin Bertrand
88
34
0
26 Nov 2022
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation
Jie Zhou
Yefei Wang
Yiyang Yuan
Qing Huang
Jinshan Zeng
GAN
74
4
0
26 Nov 2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
Pavlo Melnyk
Andreas Robinson
Michael Felsberg
Maarten Wadenback
3DPC
122
2
0
26 Nov 2022
Learning Branching Heuristics from Graph Neural Networks
Learning Branching Heuristics from Graph Neural Networks
Congsong Zhang
Yong Gao
James Nastos
GNNAI4CE
26
0
0
26 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain Generalization
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedMLOOD
92
38
0
25 Nov 2022
TrustGAN: Training safe and trustworthy deep learning models through
  generative adversarial networks
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks
Hélion Marie du Mas des Bourboux
97
1
0
25 Nov 2022
Generating 2D and 3D Master Faces for Dictionary Attacks with a
  Network-Assisted Latent Space Evolution
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
Tomer Friedlander
Ron Shmelkin
Lior Wolf
CVBM
103
1
0
25 Nov 2022
Learning Visual Planning Models from Partially Observed Images
Learning Visual Planning Models from Partially Observed Images
Kebing Jin
Zhanhao Xiao
Hankui Zhuo
Hai Wan
Jiaran Cai
56
0
0
25 Nov 2022
Signed Binary Weight Networks
Sachit Kuhar
Alexey Tumanov
Judy Hoffman
MQ
98
1
0
25 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model
End-to-End Stochastic Optimization with Energy-Based Model
Lingkai Kong
Jiaming Cui
Yuchen Zhuang
Rui Feng
B. Prakash
Chao Zhang
64
18
0
25 Nov 2022
Perception-Oriented Single Image Super-Resolution using Optimal
  Objective Estimation
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
Seungcheol Park
Young-Su Moon
N. Cho
110
33
0
24 Nov 2022
Deep unfolding as iterative regularization for imaging inverse problems
Deep unfolding as iterative regularization for imaging inverse problems
Zhuoxu Cui
Qingyong Zhu
Jing Cheng
Dong Liang
84
5
0
24 Nov 2022
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised
  Classification
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification
Bo-Lun Yan
Chang-Tsun Li
Xuequan Lu
CVBM
82
2
0
24 Nov 2022
Learning Compact Features via In-Training Representation Alignment
Learning Compact Features via In-Training Representation Alignment
X. Li
Xiangrui Li
Deng Pan
Yao Qiang
D. Zhu
OOD
62
3
0
23 Nov 2022
ProstAttention-Net: A deep attention model for prostate cancer
  segmentation by aggressiveness in MRI scans
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Audrey Duran
Gaspard Dussert
O. Rouvière
Tristan Jaouen
Pierre-Marc Jodoin
Carole Lartizien
MedIm
88
74
0
23 Nov 2022
AugOp: Inject Transformation into Neural Operator
Longqing Ye
ViT
39
0
0
23 Nov 2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with
  Spatial-Temporal Transformer
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
Yuqi Chen
Hanyuan Zhang
Weiwei Sun
B. Zheng
71
44
0
23 Nov 2022
ActMAD: Activation Matching to Align Distributions for
  Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
M. Jehanzeb Mirza
Pol Jané Soneira
W. Lin
Mateusz Koziñski
Horst Possegger
Horst Bischof
VLMTTA
103
29
0
23 Nov 2022
Privacy-Enhancing Optical Embeddings for Lensless Classification
Privacy-Enhancing Optical Embeddings for Lensless Classification
Eric Bezzam
M. Vetterli
Matthieu Simeoni
61
5
0
23 Nov 2022
Dynamic Appearance: A Video Representation for Action Recognition with
  Joint Training
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training
Guoxi Huang
A. Bors
54
1
0
23 Nov 2022
Progressive Learning with Cross-Window Consistency for Semi-Supervised
  Semantic Segmentation
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation
Bo Dang
Yansheng Li
Yongjun Zhang
Jiayi Ma
SSL
98
2
0
22 Nov 2022
A Cross-Residual Learning for Image Recognition
A Cross-Residual Learning for Image Recognition
Junle Liang
Songsen Yu
Huan Yang
56
0
0
22 Nov 2022
Clarity: an improved gradient method for producing quality visual
  counterfactual explanations
Clarity: an improved gradient method for producing quality visual counterfactual explanations
Claire Theobald
Frédéric Pennerath
Brieuc Conan-Guez
Miguel Couceiro
Amedeo Napoli
BDL
95
1
0
22 Nov 2022
Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned
  Language Models
Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models
Mark Rofin
Nikita Balagansky
Daniil Gavrilov
MoMeKELM
96
7
0
22 Nov 2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
Qibin Hou
Cheng Lu
Mingg-Ming Cheng
Jiashi Feng
ViT
140
141
0
22 Nov 2022
Confidence-guided Centroids for Unsupervised Person Re-Identification
Confidence-guided Centroids for Unsupervised Person Re-Identification
Yunqi Miao
Jiankang Deng
Guiguang Ding
Jungong Han
84
3
0
22 Nov 2022
Learnable Graph Convolutional Attention Networks
Learnable Graph Convolutional Attention Networks
Adrián Javaloy
Pablo Sánchez-Martín
Amit Levi
Isabel Valera
GNN
85
11
0
21 Nov 2022
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Xiangyang Zhu
Renrui Zhang
Bowei He
Ziyu Guo
Ziyao Zeng
Zipeng Qin
Shanghang Zhang
Peng Gao
VLM
132
149
0
21 Nov 2022
Semantic Segmentation for Fully Automated Macrofouling Analysis on
  Coatings after Field Exposure
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
Lutz M. K. Krause
Emily Manderfeld
Patricia Gnutt
Louisa Vogler
Ann Wassick
...
Marco Rudolph
K. Hunsucker
G. Swain
Bodo Rosenhahn
A. Rosenhahn
64
5
0
21 Nov 2022
Efficient Generalization Improvement Guided by Random Weight
  Perturbation
Efficient Generalization Improvement Guided by Random Weight Perturbation
Tao Li
Wei Yan
Zehao Lei
Yingwen Wu
Kun Fang
Ming-Hsuan Yang
Xiaolin Huang
AAML
84
6
0
21 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
  Inference
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
101
10
0
21 Nov 2022
Expectation-Maximization Contrastive Learning for Compact
  Video-and-Language Representations
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Peng Jin
Jinfa Huang
Fenglin Liu
Xian Wu
Shen Ge
Guoli Song
David Clifton
Jing Chen
VLM
117
69
0
21 Nov 2022
DrapeNet: Garment Generation and Self-Supervised Draping
DrapeNet: Garment Generation and Self-Supervised Draping
Luca de Luigi
Ren Li
Benoît Guillard
Mathieu Salzmann
Pascal Fua
3DHAI4CE
78
31
0
21 Nov 2022
DAQE: Enhancing the Quality of Compressed Images by Exploiting the
  Inherent Characteristic of Defocus
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
Qunliang Xing
Mai Xu
Xin Deng
Yichen Guo
59
3
0
20 Nov 2022
Feature Weaken: Vicinal Data Augmentation for Classification
Feature Weaken: Vicinal Data Augmentation for Classification
Songhao Jiang
Yan Chu
Tian-Hui Ma
Tianning Zang
58
0
0
20 Nov 2022
AI-KD: Adversarial learning and Implicit regularization for
  self-Knowledge Distillation
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
Hyungmin Kim
Sungho Suh
Sunghyun Baek
Daehwan Kim
Daun Jeong
Hansang Cho
Junmo Kim
55
6
0
20 Nov 2022
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop
  Scheduling
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
80
18
0
20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Daehwan Kim
Kwang-seok Ryoo
Hansang Cho
Seung Wook Kim
NoLa
86
4
0
20 Nov 2022
Learning to Generate Image Embeddings with User-level Differential
  Privacy
Learning to Generate Image Embeddings with User-level Differential Privacy
Zheng Xu
Maxwell D. Collins
Yuxiao Wang
Liviu Panait
Sewoong Oh
S. Augenstein
Ting Liu
Florian Schroff
H. B. McMahan
FedML
104
31
0
20 Nov 2022
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously
  Exploiting Image and Event Modalities
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
Shristi Das Biswas
Adarsh Kosta
C. Liyanagedera
M. Apolinario
Kaushik Roy
106
20
0
19 Nov 2022
VarietySound: Timbre-Controllable Video to Sound Generation via
  Unsupervised Information Disentanglement
VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement
Chenye Cui
Yi Ren
Jinglin Liu
Rongjie Huang
Zhou Zhao
VGen
95
14
0
19 Nov 2022
Rethinking Batch Sample Relationships for Data Representation: A
  Batch-Graph Transformer based Approach
Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach
Xixi Wang
Bowei Jiang
Tianlin Li
Bin Luo
ViT
116
5
0
19 Nov 2022
Informative Sample-Aware Proxy for Deep Metric Learning
Informative Sample-Aware Proxy for Deep Metric Learning
Aoyu Li
Ikuro Sato
Kohta Ishikawa
Rei Kawakami
Rio Yokota
134
1
0
18 Nov 2022
Unsupervised 3D Pose Transfer with Cross Consistency and Dual
  Reconstruction
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
Chaoyue Song
Jiacheng Wei
Ruibo Li
Fayao Liu
Guosheng Lin
3DPC
118
22
0
18 Nov 2022
Delving into Transformer for Incremental Semantic Segmentation
Delving into Transformer for Incremental Semantic Segmentation
Zekai Xu
Mingying Zhang
Jiayue Hou
Xing Gong
Chuan Wen
Chengjie Wang
Junge Zhang
CLL
77
1
0
18 Nov 2022
Self-Remixing: Unsupervised Speech Separation via Separation and
  Remixing
Self-Remixing: Unsupervised Speech Separation via Separation and Remixing
Kohei Saijo
Tetsuji Ogawa
SSL
66
11
0
18 Nov 2022
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