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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 / 11,142 papers shown
Title
UnityGraph: Unified Learning of Spatio-temporal features for
  Multi-person Motion Prediction
UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
Kehua Qu
Rui Ding
Jin Tang
3DH
84
0
0
06 Nov 2024
Relation Learning and Aggregate-attention for Multi-person Motion
  Prediction
Relation Learning and Aggregate-attention for Multi-person Motion Prediction
Kehua Qu
Rui Ding
Jin Tang
3DH
127
0
0
06 Nov 2024
Cross Feature Fusion of Fundus Image and Generated Lesion Map for
  Referable Diabetic Retinopathy Classification
Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
Dahyun Mok
Junghyun Bum
Le Duc Tai
Hyunseung Choo
MedIm
54
0
0
06 Nov 2024
MA^2: A Self-Supervised and Motion Augmenting Autoencoder for Gait-Based
  Automatic Disease Detection
MA^2: A Self-Supervised and Motion Augmenting Autoencoder for Gait-Based Automatic Disease Detection
Yiqun Liu
Ke Zhang
Yin Zhu
MedIm
42
0
0
05 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional
  Adversarial Training
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
Junhao Dong
Xinghua Qu
Zhiyuan Wang
Yew-Soon Ong
AAML
91
1
0
05 Nov 2024
Counterfactual Explanations via Riemannian Latent Space Traversal
Counterfactual Explanations via Riemannian Latent Space Traversal
Paraskevas Pegios
Aasa Feragen
Andreas Abildtrup Hansen
Georgios Arvanitidis
BDL
85
3
0
04 Nov 2024
Exploring the Landscape for Generative Sequence Models for Specialized
  Data Synthesis
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
Mohammad Zbeeb
Mohammad Ghorayeb
Mariam Salman
135
0
0
04 Nov 2024
Multi-task Geometric Estimation of Depth and Surface Normal from
  Monocular 360° Images
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images
Kun Huang
Fang-Lue Zhang
Fangfang Zhang
Yu-Kun Lai
Paul L. Rosin
N. Dodgson
81
0
0
04 Nov 2024
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
Jim Zhao
Sidak Pal Singh
Aurelien Lucchi
AI4CE
148
0
0
04 Nov 2024
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
Xinliang Zhou
Yuzhe Han
Zhenpeng Chen
Chenyu Liu
Yi Ding
Ziyu Jia
Yang Liu
Mamba
70
1
0
03 Nov 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict
  Gradient Noise Scale in Transformers
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
Gavia Gray
Aman Tiwari
Shane Bergsma
Joel Hestness
97
2
0
01 Nov 2024
Improving self-training under distribution shifts via anchored
  confidence with theoretical guarantees
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo
Diego Klabjan
UQCV
104
0
0
01 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and
  Out-of-Distribution Detection
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
82
0
0
01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD
  Detection in SAR Imagery
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
Kyung-Hwan Lee
Kyung-Tae Kim
77
0
0
01 Nov 2024
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Quan Zhou
Changhua Pei
Fei Sun
Jing Han
Zhengwei Gao
Dan Pei
Haiming Zhang
Gaogang Xie
Jianhui Li
AI4TS
151
4
0
01 Nov 2024
Understanding Generalizability of Diffusion Models Requires Rethinking
  the Hidden Gaussian Structure
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
Xiang Li
Yixiang Dai
Qing Qu
DiffMAI4CE
104
16
0
31 Oct 2024
TrAct: Making First-layer Pre-Activations Trainable
TrAct: Making First-layer Pre-Activations Trainable
Felix Petersen
Christian Borgelt
Stefano Ermon
68
0
0
31 Oct 2024
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
Atli Kosson
Bettina Messmer
Martin Jaggi
AI4CE
71
5
0
31 Oct 2024
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz
  Constraints
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
Jay Bear
Adam Prugel-Bennett
Jonathon S. Hare
63
1
0
30 Oct 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
(FL)2^22: Overcoming Few Labels in Federated Semi-Supervised Learning
Seungjoo Lee
Thanh-Long V. Le
Jaemin Shin
Sung-Ju Lee
FedML
110
2
0
30 Oct 2024
NASM: Neural Anisotropic Surface Meshing
NASM: Neural Anisotropic Surface Meshing
Hongbo Li
Haikuan Zhu
Sikai Zhong
Ningna Wang
Cheng Lin
X. Guo
Shiqing Xin
Wenping Wang
Jing Hua
Z. Zhong
51
0
0
30 Oct 2024
Power side-channel leakage localization through adversarial training of
  deep neural networks
Power side-channel leakage localization through adversarial training of deep neural networks
Jimmy Gammell
A. Raghunathan
Kaushik Roy
AAML
144
0
0
29 Oct 2024
Where Do Large Learning Rates Lead Us?
Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov
M. Kodryan
Eduard Pokonechny
E. Lobacheva
Dmitry Vetrov
AI4CE
104
1
0
29 Oct 2024
Dimensionality-induced information loss of outliers in deep neural
  networks
Dimensionality-induced information loss of outliers in deep neural networks
Kazuki Uematsu
Kosuke Haruki
Taiji Suzuki
Mitsuhiro Kimura
Takahiro Takimoto
Hideyuki Nakagawa
59
0
0
29 Oct 2024
Vertical Federated Learning with Missing Features During Training and Inference
Vertical Federated Learning with Missing Features During Training and Inference
Pedro Valdeira
Shiqiang Wang
Yuejie Chi
FedML
122
2
0
29 Oct 2024
Data Generation for Hardware-Friendly Post-Training Quantization
Data Generation for Hardware-Friendly Post-Training Quantization
Lior Dikstein
Ariel Lapid
Arnon Netzer
H. Habi
MQ
484
0
0
29 Oct 2024
Mitigating Gradient Overlap in Deep Residual Networks with Gradient
  Normalization for Improved Non-Convex Optimization
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization
Juyoung Yun
42
3
0
28 Oct 2024
Super-resolution in disordered media using neural networks
Super-resolution in disordered media using neural networks
Alexander Christie
Matan Leibovich
Miguel Moscoso
A. Novikov
George Papanicolaou
C. Tsogka
21
0
0
28 Oct 2024
Domain Adaptation with a Single Vision-Language Embedding
Domain Adaptation with a Single Vision-Language Embedding
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
71
0
0
28 Oct 2024
Enhancing Action Recognition by Leveraging the Hierarchical Structure of
  Actions and Textual Context
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Manuel Benavent-Lledo
David Mulero-Pérez
David Ortiz-Perez
José García Rodríguez
Antonis Argyros
69
1
0
28 Oct 2024
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost
  Edge Devices
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices
Hiroki Matsutani
Masaaki Kondo
Kazuki Sunaga
R. Marculescu
46
1
0
28 Oct 2024
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative
  Framework
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework
V. Arkhipkin
Viacheslav Vasilev
Andrei Filatov
Igor Pavlov
Julia Agafonova
...
Evelina Mironova
Anton Bukashkin
Konstantin Kulikov
Andrey Kuznetsov
Denis Dimitrov
DiffM
82
6
0
28 Oct 2024
Scaling-based Data Augmentation for Generative Models and its
  Theoretical Extension
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension
Yoshitaka Koike
Takumi Nakagawa
Hiroki Waida
Takafumi Kanamori
DiffM
121
0
0
28 Oct 2024
Murine AI excels at cats and cheese: Structural differences between
  human and mouse neurons and their implementation in generative AIs
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
R. Saiga
Kaede Shiga
Yo Maruta
C. Inomoto
Hiroshi Kajiwara
...
Yuichi Yamashita
M. Itokawa
Soichiro Ide
Kazutaka Ikeda
R. Mizutani
29
0
0
28 Oct 2024
Plastic Learning with Deep Fourier Features
Plastic Learning with Deep Fourier Features
Alex Lewandowski
Dale Schuurmans
Marlos C. Machado
CLL
102
3
0
27 Oct 2024
High quality ECG dataset based on MIT-BIH recordings for improved
  heartbeats classification
High quality ECG dataset based on MIT-BIH recordings for improved heartbeats classification
Ahmed. S Benmessaoud
Farida Medjani
Yahia Bousseloub
Khalid Bouaita
Dhia Benrahem
Tahar Kezai
27
4
0
27 Oct 2024
Multi-Field Adaptive Retrieval
Multi-Field Adaptive Retrieval
Millicent Li
Tongfei Chen
Benjamin Van Durme
Patrick Xia
452
1
0
26 Oct 2024
Interpreting Neural Networks through Mahalanobis Distance
Interpreting Neural Networks through Mahalanobis Distance
Alan Oursland
FAttMILM
23
1
0
25 Oct 2024
Spatial-Temporal Search for Spiking Neural Networks
Spatial-Temporal Search for Spiking Neural Networks
Kaiwei Che
Zhaokun Zhou
Li-xin Yuan
Jianguo Zhang
Yonghong Tian
Luziwei Leng
51
0
0
24 Oct 2024
Scale Propagation Network for Generalizable Depth Completion
Scale Propagation Network for Generalizable Depth Completion
Haotian Wang
Meng Yang
Xinhu Zheng
Gang Hua
97
2
0
24 Oct 2024
Improving Handwritten Text Recognition via 3D Attention and Multi-Scale Training
Improving Handwritten Text Recognition via 3D Attention and Multi-Scale Training
Zi-Rui Wang
66
0
0
24 Oct 2024
Predicting total time to compress a video corpus using online inference
  systems
Predicting total time to compress a video corpus using online inference systems
Xin Shu
Vibhoothi
Anil C. Kokaram
26
0
0
23 Oct 2024
Leveraging Deep Learning for Time Series Extrinsic Regression in
  predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
Lorenzo Monti
Tatiana Muraveva
Gisella Clementini
Alessia Garofalo
41
1
0
23 Oct 2024
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted
  Transformer Network
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
Suraj Kumar
S. Chattopadhyay
Chandranath Adak
31
0
0
23 Oct 2024
Rethinking Positive Pairs in Contrastive Learning
Rethinking Positive Pairs in Contrastive Learning
Jiantao Wu
Shentong Mo
Zhenhua Feng
Sara Atito
Josef Kitler
Muhammad Awais
SSLVLM
132
3
0
23 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding
Xu Cao
Jianhang Xie
Linlin Fan
Shangguang Wang
Zhichao Lu
89
1
0
22 Oct 2024
Network Inversion for Training-Like Data Reconstruction
Network Inversion for Training-Like Data Reconstruction
Pirzada Suhail
Amit Sethi
FedML
60
0
0
22 Oct 2024
CKSP: Cross-species Knowledge Sharing and Preserving for Universal
  Animal Activity Recognition
CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition
Axiu Mao
Meilu Zhu
Zhaojin Guo
Zheng He
Tomas Norton
Kai Liu
53
0
0
22 Oct 2024
Metric as Transform: Exploring beyond Affine Transform for Interpretable
  Neural Network
Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network
Suman Sapkota
53
0
0
21 Oct 2024
An Explainable Contrastive-based Dilated Convolutional Network with
  Transformer for Pediatric Pneumonia Detection
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
Chandravardhan Singh Raghaw
Parth Shirish Bhore
Mohammad Zia Ur Rehman
Nagendra Kumar
ViTMedIm
100
7
0
21 Oct 2024
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