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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 / 11,209 papers shown
Title
Physics Informed and Data Driven Simulation of Underwater Images via
  Residual Learning
Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning
Tanmoy Mondal
Ricardo Mendoza
Lucas Drumetz
85
1
0
07 Feb 2024
A Resource Model For Neural Scaling Law
A Resource Model For Neural Scaling Law
Jinyeop Song
Ziming Liu
Max Tegmark
Jeff Gore
160
4
0
07 Feb 2024
A Survey on Domain Generalization for Medical Image Analysis
Ziwei Niu
Shuyi Ouyang
Shiao Xie
Yen-wei Chen
Lanfen Lin
OODLM&MA
97
5
0
07 Feb 2024
Channel-Selective Normalization for Label-Shift Robust Test-Time
  Adaptation
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation
Pedro Vianna
Muawiz Chaudhary
Paria Mehrbod
An Tang
Guy Cloutier
Guy Wolf
Michael Eickenberg
Eugene Belilovsky
OOD
64
3
0
07 Feb 2024
A Lightweight Inception Boosted U-Net Neural Network for Routability
  Prediction
A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction
Hailiang Li
Yan Huo
Yan Wang
Xu Yang
Miaohui Hao
Xiao Wang
112
2
0
07 Feb 2024
Curvature-Informed SGD via General Purpose Lie-Group Preconditioners
Curvature-Informed SGD via General Purpose Lie-Group Preconditioners
Omead Brandon Pooladzandi
Xi-Lin Li
88
8
0
07 Feb 2024
Parameter-tuning-free data entry error unlearning with adaptive
  selective synaptic dampening
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
Stefan Schoepf
Jack Foster
Alexandra Brintrup
MU
71
8
0
06 Feb 2024
Belief Scene Graphs: Expanding Partial Scenes with Objects through
  Computation of Expectation
Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation
Mario A. V. Saucedo
Akash Patel
Akshit Saradagi
Christoforos Kanellakis
G. Nikolakopoulos
61
4
0
06 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths
Masked Graph Autoencoder with Non-discrete Bandwidths
Zi-qiang Zhao
Yuhua Li
Yixiong Zou
Jiliang Tang
Ruixuan Li
86
12
0
06 Feb 2024
Intensive Vision-guided Network for Radiology Report Generation
Intensive Vision-guided Network for Radiology Report Generation
Fudan Zheng
Mengfei Li
Ying Wang
Weijiang Yu
Ruixuan Wang
Zhiguang Chen
Nong Xiao
Yutong Lu
160
1
0
06 Feb 2024
Deconstructing the Goldilocks Zone of Neural Network Initialization
Deconstructing the Goldilocks Zone of Neural Network Initialization
Artem Vysogorets
Anna Dawid
Julia Kempe
75
1
0
05 Feb 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective
Revisiting the Dataset Bias Problem from a Statistical Perspective
Kien Do
D. Nguyen
Hung Le
T. Le
Dang Nguyen
Haripriya Harikumar
T. Tran
Santu Rana
Svetha Venkatesh
56
0
0
05 Feb 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential
  Equations
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin
Jiahao Huang
Zhongying Deng
Guang Yang
Carola-Bibiane Schönlieb
Angelica E. Avilés-Rivero
81
8
0
05 Feb 2024
Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT
  Protocol
Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
H. Alaiz-Moretón
José Aveleira-Mata
Jorge Ondicol-Garcia
Á. L. M. Castañeda
Isaías García
Carmen Benavides
32
105
0
05 Feb 2024
How Good is a Single Basin?
How Good is a Single Basin?
Kai Lion
Lorenzo Noci
Thomas Hofmann
Gregor Bachmann
UQCV
51
3
0
05 Feb 2024
A Multi-step Loss Function for Robust Learning of the Dynamics in
  Model-based Reinforcement Learning
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
Abdelhakim Benechehab
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
Balázs Kégl
NoLa
54
1
0
05 Feb 2024
Discovering interpretable models of scientific image data with deep
  learning
Discovering interpretable models of scientific image data with deep learning
Christopher J. Soelistyo
Alan R. Lowe
63
6
0
05 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based
  offline reinforcement learning
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning
Abdelhakim Benechehab
Albert Thomas
Balázs Kégl
OffRL
69
2
0
05 Feb 2024
Dual Knowledge Distillation for Efficient Sound Event Detection
Dual Knowledge Distillation for Efficient Sound Event Detection
Yang Xiao
Rohan Kumar Das
93
13
0
05 Feb 2024
Learning from Teaching Regularization: Generalizable Correlations Should
  be Easy to Imitate
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin
Tong Che
Hongwu Peng
Yiyuan Li
Dimitris N. Metaxas
Marco Pavone
135
47
0
05 Feb 2024
Rethinking RGB Color Representation for Image Restoration Models
Rethinking RGB Color Representation for Image Restoration Models
Jaerin Lee
J. Park
Sungyong Baik
Kyoung Mu Lee
69
1
0
05 Feb 2024
Can Large Language Models Learn Independent Causal Mechanisms?
Can Large Language Models Learn Independent Causal Mechanisms?
Gaël Gendron
Bao Trung Nguyen
A. Peng
Michael Witbrock
Gillian Dobbie
LRM
71
4
0
04 Feb 2024
Review of multimodal machine learning approaches in healthcare
Review of multimodal machine learning approaches in healthcare
"Felix H. Krones
Umar Marikkar
Guy Parsons
Adam Szmul
Adam Mahdi
122
34
0
04 Feb 2024
Unification of Symmetries Inside Neural Networks: Transformer,
  Feedforward and Neural ODE
Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE
Koji Hashimoto
Yuji Hirono
Akiyoshi Sannai
AI4CE
84
8
0
04 Feb 2024
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention
  for medical image Classification
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
Elham Sadeghnezhad
Sajjad Salem
33
4
0
03 Feb 2024
Topology-Informed Graph Transformer
Topology-Informed Graph Transformer
Yuncheol Choi
Sun Woo Park
Minho Lee
Youngho Woo
76
7
0
03 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation
  of Prediction Rationale
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu
Xiaofeng Cao
Qi Chen
Bowen Zhang
Ziqin Zhou
Anton Van Den Hengel
Lingqiao Liu
86
0
0
02 Feb 2024
Scale Equalization for Multi-Level Feature Fusion
Scale Equalization for Multi-Level Feature Fusion
Bum Jun Kim
Sang Woo Kim
21
1
0
02 Feb 2024
BAT: Learning to Reason about Spatial Sounds with Large Language Models
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Zhisheng Zheng
Puyuan Peng
Ziyang Ma
Xie Chen
Eunsol Choi
David Harwath
LRM
125
19
0
02 Feb 2024
Lightweight Pixel Difference Networks for Efficient Visual
  Representation Learning
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Z. Su
Jiehua Zhang
Longguang Wang
Hua Zhang
Zhen Liu
M. Pietikäinen
Li Liu
92
22
0
01 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
62
2
0
31 Jan 2024
HyperZ$\cdot$Z$\cdot$W Operator Connects Slow-Fast Networks for Full
  Context Interaction
HyperZ⋅\cdot⋅Z⋅\cdot⋅W Operator Connects Slow-Fast Networks for Full Context Interaction
Harvie Zhang
63
0
0
31 Jan 2024
Effective Multi-Stage Training Model For Edge Computing Devices In
  Intrusion Detection
Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
Thua Huynh Trong
Thanh Nguyen Hoang
58
3
0
31 Jan 2024
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible
  recipes, self-supervised front-ends, and off-the-shelf models
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models
Jee-weon Jung
Wangyou Zhang
Jiatong Shi
Zakaria Aldeneh
Takuya Higuchi
B. Theobald
Ahmed Hussen Abdelaziz
Shinji Watanabe
165
24
0
30 Jan 2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in
  Deep Click-Through Rate Prediction Models
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
Yewen Fan
Nian Si
Xiangchen Song
Kun Zhang
139
0
0
30 Jan 2024
Using Motion Forecasting for Behavior-Based Virtual Reality (VR)
  Authentication
Using Motion Forecasting for Behavior-Based Virtual Reality (VR) Authentication
Mingjun Li
N. Banerjee
Sean Banerjee
58
3
0
30 Jan 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
N. Palomero-Gallagher
Christian Schiffer
M. Axer
Katrin Amunts
Timo Dickscheid
94
4
0
30 Jan 2024
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
Seokju Yun
Youngmin Ro
ViT
136
36
0
29 Jan 2024
TFDMNet: A Novel Network Structure Combines the Time Domain and
  Frequency Domain Features
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features
H. Pan
Yixin Chen
Zhiliang Tian
Peng Qiao
Linbo Qiao
Dongsheng Li
42
0
0
29 Jan 2024
Evaluating Deep Networks for Detecting User Familiarity with VR from
  Hand Interactions
Evaluating Deep Networks for Detecting User Familiarity with VR from Hand Interactions
Mingjun Li
Numan Zafar
N. Banerjee
Sean Banerjee
HAI
47
2
0
27 Jan 2024
A Comprehensive Survey of Compression Algorithms for Language Models
A Comprehensive Survey of Compression Algorithms for Language Models
Seungcheol Park
Jaehyeon Choi
Sojin Lee
U. Kang
MQ
116
16
0
27 Jan 2024
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample
  Consensus
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
Florian Kluger
Bodo Rosenhahn
56
6
0
26 Jan 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free
  Domain Adaptation
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
131
0
0
26 Jan 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Xinlei Chen
Zhuang Liu
Saining Xie
Kaiming He
DiffM
90
60
0
25 Jan 2024
At the junction between deep learning and statistics of extremes:
  formalizing the landslide hazard definition
At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
Ashok Dahal
Raphael Huser
Luigi Lombardo
23
9
0
25 Jan 2024
Evaluation of POSIT Arithmetic with Accelerators
Evaluation of POSIT Arithmetic with Accelerators
N. Nakasato
Yuki Murakami
Fumiya Kono
Maho Nakata
44
1
0
25 Jan 2024
Inference Attacks Against Face Recognition Model without Classification
  Layers
Inference Attacks Against Face Recognition Model without Classification Layers
Yuanqing Huang
Huilong Chen
Yinggui Wang
Lei Wang
50
1
0
24 Jan 2024
Neural deformation fields for template-based reconstruction of cortical
  surfaces from MRI
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI
Fabian Bongratz
Anne-Marie Rickmann
Christian Wachinger
128
12
0
23 Jan 2024
DVL Calibration using Data-driven Methods
DVL Calibration using Data-driven Methods
Zeev Yampolsky
Itzik Klein
53
2
0
23 Jan 2024
Anisotropy Is Inherent to Self-Attention in Transformers
Anisotropy Is Inherent to Self-Attention in Transformers
Nathan Godey
Eric Villemonte de la Clergerie
Benoît Sagot
76
19
0
22 Jan 2024
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