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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 / 11,138 papers shown
Title
LiMTR: Time Series Motion Prediction for Diverse Road Users through
  Multimodal Feature Integration
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration
Camiel Oerlemans
Bram Grooten
Michiel Braat
Alaa Alassi
Emilia Silvas
Decebal Constantin Mocanu
66
0
0
21 Oct 2024
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh
  Smoothing
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing
Zhichao Wang
Xinhai Chen
Chunye Gong
Bo Yang
Liang Deng
Yufei Sun
Yufei Pang
Jie Liu
AI4CE
63
0
0
19 Oct 2024
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep
  Neural Nets
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets
Yunqi Cai
Jiangnan Li
Dong Wang
OODAI4CE
61
0
0
19 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Bryan Chan
Anson Leung
James Bergstra
OffRLOnRL
138
0
0
19 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Shaozhe Hao
Xuantong Liu
Xianbiao Qi
Shihao Zhao
Bojia Zi
Rong Xiao
Kai Han
Kwan-Yee K. Wong
198
3
0
18 Oct 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and
  Fully-Connected Neural Networks for Causally Constrained Predictions
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions
M. Vowels
Mathieu Rochat
S. Akbari
CMLGNNOOD
134
0
0
18 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models?
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
Margret Keuper
J. Keuper
97
2
0
18 Oct 2024
Feature Augmentation based Test-Time Adaptation
Feature Augmentation based Test-Time Adaptation
Y. Cho
Youngrae Kim
Junho Yoon
Seunghoon Hong
Dongman Lee
TPMTTA
80
0
0
18 Oct 2024
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity
  Perspective for Semi-supervised Medical Image Segmentation
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation
Shiao Xie
Haoran Wang
Ziwei Niu
Hao Sun
Shuyi Ouyang
Yen-Wei Chen
Lanfen Lin
37
0
0
17 Oct 2024
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Löwe
Andreas Geiger
Max Welling
AI4CE
204
10
0
17 Oct 2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer
  Look
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Yong Zhang
Rui Zhu
Shifeng Zhang
Xu Zhou
Shifeng Chen
Xiaofan Chen
SSL
72
0
0
16 Oct 2024
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement
  Learning Approach
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach
Emmanuel Gnabeyeu
Omar Karkar
Imad Idboufous
46
0
0
15 Oct 2024
Role of Delay in Brain Dynamics
Role of Delay in Brain Dynamics
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ido Kanter
AI4CE
55
2
0
15 Oct 2024
Survey and Evaluation of Converging Architecture in LLMs based on
  Footsteps of Operations
Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations
Seongho Kim
Jihyun Moon
Juntaek Oh
Insu Choi
Joon-Sung Yang
38
0
0
15 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Sajad Movahedi
Antonio Orvieto
Seyed-Mohsen Moosavi-Dezfooli
AI4CEAAML
585
0
0
15 Oct 2024
Embodied Active Learning of Generative Sensor-Object Models
Embodied Active Learning of Generative Sensor-Object Models
Allison Pinosky
Todd Murphey
LM&Ro
54
1
0
14 Oct 2024
Towards a More Complete Theory of Function Preserving Transforms
Towards a More Complete Theory of Function Preserving Transforms
Michael Painter
27
0
0
14 Oct 2024
SLaNC: Static LayerNorm Calibration
SLaNC: Static LayerNorm Calibration
Mahsa Salmani
Nikita Trukhanov
I. Soloveychik
MQ
48
0
0
14 Oct 2024
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
Federico Arangath Joseph
Jerome Sieber
Melanie Zeilinger
Carmen Amo Alonso
224
0
0
14 Oct 2024
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
Ali Kashefi
3DPC
114
7
0
14 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Hyunseung Kim
Jun Jet Tai
K. Subramanian
Peter R. Wurman
Jaegul Choo
Peter Stone
Takuma Seno
OffRL
183
17
0
13 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation
MITA: Bridging the Gap between Model and Data for Test-time Adaptation
Yige Yuan
Bingbing Xu
Teng Xiao
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTA
118
1
0
12 Oct 2024
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video
  Paragraph Captioning
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning
Eileen Wang
Caren Han
Josiah Poon
61
0
0
12 Oct 2024
Text-To-Image with Generative Adversarial Networks
Text-To-Image with Generative Adversarial Networks
Mehrshad Momen-Tayefeh
GAN
28
0
0
11 Oct 2024
BA-Net: Bridge Attention in Deep Neural Networks
BA-Net: Bridge Attention in Deep Neural Networks
Ronghui Zhang
Runzong Zou
Yue Zhao
Zirui Zhang
Junzhou Chen
Yue Cao
Chuan Hu
Houbing Song
58
0
0
10 Oct 2024
QoS-Nets: Adaptive Approximate Neural Network Inference
QoS-Nets: Adaptive Approximate Neural Network Inference
E. Trommer
Bernd Waschneck
Akash Kumar
40
0
0
10 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Cristian Meo
Mircea Lica
Zarif Ikram
Akihiro Nakano
Vedant Shah
Aniket Didolkar
Dianbo Liu
Anirudh Goyal
Justin Dauwels
OffRL
235
0
0
10 Oct 2024
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
157
1
0
09 Oct 2024
Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for
  Efficient Banana Plantation Segmentation in UAV Imagery
Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for Efficient Banana Plantation Segmentation in UAV Imagery
Ang He
Ximei Wu
Xing Xu
Jing Chen
Xiaobin Guo
Sheng Xu
68
1
0
09 Oct 2024
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by
  Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern
  Forests
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
Jose B. Castro
Cheryl Rogers
Camile Sothe
Dominic Cyr
Alemu Gonsamo
68
0
0
08 Oct 2024
The USTC-NERCSLIP Systems for the CHiME-8 MMCSG Challenge
The USTC-NERCSLIP Systems for the CHiME-8 MMCSG Challenge
Ya Jiang
Hongbo Lan
Jun Du
Qing Wang
Shutong Niu
76
1
0
08 Oct 2024
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised
  Contrastive Learning
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
Taha Bouhsine
Imad El Aaroussi
Atik Faysal
Wang Huaxia
115
1
0
07 Oct 2024
Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality
Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality
Ge Ya Luo
Gian Mario Favero
Zhi Hao Luo
Alexia Jolicoeur-Martineau
Christopher Pal
VGen
76
4
0
07 Oct 2024
Mastering Chinese Chess AI (Xiangqi) Without Search
Mastering Chinese Chess AI (Xiangqi) Without Search
Yu Chen
Juntong Lin
Zhichao Shu
19
0
0
07 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Ray Congrui Yu
Sherry Wu
Jiang Gui
116
1
0
07 Oct 2024
On Efficient Variants of Segment Anything Model: A Survey
On Efficient Variants of Segment Anything Model: A Survey
Xiaorui Sun
Jing Liu
Jikang Cheng
Xiaofeng Zhu
Ping Hu
VLM
143
7
0
07 Oct 2024
Gap Preserving Distillation by Building Bidirectional Mappings with A
  Dynamic Teacher
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
Yong Guo
Shulian Zhang
Haolin Pan
Jing Liu
Yulun Zhang
Jian Chen
87
0
0
05 Oct 2024
The OCON model: an old but green solution for distributable supervised
  classification for acoustic monitoring in smart cities
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities
Stefano Giacomelli
Marco Giordano
Claudia Rinaldi
52
0
0
05 Oct 2024
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed
  Neural Networks
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks
Tianchi Yu
Jingwei Qiu
Jiang Yang
Ivan Oseledets
65
2
0
05 Oct 2024
The OCON model: an old but gold solution for distributable supervised
  classification
The OCON model: an old but gold solution for distributable supervised classification
Stefano Giacomelli
Marco Giordano
Claudia Rinaldi
48
1
0
05 Oct 2024
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time
  Series Forecasting in Deep Learning
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning
Edoardo Urettini
Daniele Atzeni
Reshawn J. Ramjattan
Antonio Carta
AI4TS
46
0
0
04 Oct 2024
Authentication by Location Tracking in Underwater Acoustic Networks
Authentication by Location Tracking in Underwater Acoustic Networks
Gianmaria Ventura
Francesco Ardizzon
Stefano Tomasin
51
1
0
04 Oct 2024
Classification-Denoising Networks
Classification-Denoising Networks
Louis Thiry
Florentin Guth
87
1
0
04 Oct 2024
An Enhanced Harmonic Densely Connected Hybrid Transformer Network
  Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space
  Tensor Merging
An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging
B. Cassidy
Christian Mcbride
Connah Kendrick
N. Reeves
Joseph M Pappachan
...
Metib Alotaibi
Abdullah Abdulaziz AlWabel
Mohammad Alderwish
Kuan-Ying Lai
Moi Hoon Yap
68
1
0
04 Oct 2024
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using
  Neural Implicit Representations
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
Sameer Ambekar
Julia A. Schnabel
Cosmin Bereca
MedImOOD
94
0
0
04 Oct 2024
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
131
2
0
04 Oct 2024
Cayley Graph Propagation
Cayley Graph Propagation
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
259
6
0
04 Oct 2024
Forecasting Smog Clouds With Deep Learning
Forecasting Smog Clouds With Deep Learning
Valentijn Oldenburg
Juan Cardenas-Cartagena
Matias Valdenegro-Toro
AI4TS
33
1
0
03 Oct 2024
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Hyunwoo Lee
Hayoung Choi
Hyunju Kim
75
2
0
03 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
60
0
0
02 Oct 2024
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