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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
Adaptive trajectory-constrained exploration strategy for deep
  reinforcement learning
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
69
3
0
27 Dec 2023
Selective-Memory Meta-Learning with Environment Representations for
  Sound Event Localization and Detection
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection
Jinbo Hu
Yin Cao
Ming Wu
Qiuqiang Kong
Feiran Yang
Mark D. Plumbley
Jun Yang
78
1
0
27 Dec 2023
Adaptive Depth Networks with Skippable Sub-Paths
Adaptive Depth Networks with Skippable Sub-Paths
Woochul Kang
67
1
0
27 Dec 2023
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition
  Neural Network
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
Yuhang He
Zhuangzhuang Dai
Long Chen
Niki Trigoni
Andrew Markham
77
0
0
26 Dec 2023
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced
  linear classification
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
Hyenkyun Woo
56
0
0
26 Dec 2023
Deep Pulse-Coupled Neural Networks
Deep Pulse-Coupled Neural Networks
Zexiang Yi
Jing Lian
Yunliang Qi
Zhaofei Yu
Huajin Tang
Yide Ma
Jizhao Liu
71
2
0
24 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCVBDL
60
6
0
23 Dec 2023
Understanding normalization in contrastive representation learning and
  out-of-distribution detection
Understanding normalization in contrastive representation learning and out-of-distribution detection
T. L. Gia
Jaehyun Ahn
OODD
84
2
0
23 Dec 2023
Towards End-to-End Structure Solutions from Information-Compromised
  Diffraction Data via Generative Deep Learning
Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning
Gabriel Guo
Judah Goldfeder
Ling Lan
Aniv Ray
Albert Hanming Yang
Boyuan Chen
S. Billinge
Hod Lipson
51
4
0
23 Dec 2023
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
181
10
0
23 Dec 2023
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge
  Distillation
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu
Haolun Wu
Xuan Li
Chen Ma
Xi Chen
Jun Yan
Boyu Wang
Xue Liu
106
3
0
22 Dec 2023
InternVL: Scaling up Vision Foundation Models and Aligning for Generic
  Visual-Linguistic Tasks
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen
Jiannan Wu
Wenhai Wang
Weijie Su
Guo Chen
...
Bin Li
Ping Luo
Tong Lu
Yu Qiao
Jifeng Dai
VLMMLLM
288
1,216
0
21 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic
  Tensor Selection
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
Kai Huang
Boyuan Yang
Wei Gao
93
21
0
21 Dec 2023
Leveraging Visual Supervision for Array-based Active Speaker Detection
  and Localization
Leveraging Visual Supervision for Array-based Active Speaker Detection and Localization
Davide Berghi
Philip J. B. Jackson
66
5
0
21 Dec 2023
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
Tao Wu
Tie Luo
D. C. Wunsch
77
3
0
21 Dec 2023
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain
  MRI
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
Benjamin Billot
Neel Dey
Daniel Moyer
M. Hoffmann
Esra Abaci Turk
B. Gagoski
Ellen Grant
Polina Golland
3DPC
124
6
0
21 Dec 2023
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
Youssef Mourchid
M. Donias
Y. Berthoumieu
Mohamed Najim
GAN
117
1
0
21 Dec 2023
Multi-stages attention Breast cancer classification based on nonlinear
  spiking neural P neurons with autapses
Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses
Bo Yang
Hong Peng
Xiaohui Luo
Jun Wang
32
1
0
20 Dec 2023
Cross-Modal Reasoning with Event Correlation for Video Question
  Answering
Cross-Modal Reasoning with Event Correlation for Video Question Answering
Chengxiang Yin
Zhengping Che
Kun Wu
Zhiyuan Xu
Qinru Qiu
Jian Tang
60
0
0
20 Dec 2023
DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS
  Channel and DNA Storage
DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage
Alan J.X. Guo
Sihan Sun
Xiang Wei
Mengyi Wei
Xin Chen
59
1
0
20 Dec 2023
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography
  Reconstruction
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
50
1
0
19 Dec 2023
Optimizing Neural Networks with Gradient Lexicase Selection
Optimizing Neural Networks with Gradient Lexicase Selection
Lijie Ding
Lee Spector
93
20
0
19 Dec 2023
Layerwise complexity-matched learning yields an improved model of
  cortical area V2
Layerwise complexity-matched learning yields an improved model of cortical area V2
Nikhil Parthasarathy
Olivier J. Hénaff
Eero P. Simoncelli
84
1
0
18 Dec 2023
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM
  Finetuning
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
Bingchen Zhao
Haoqin Tu
Chen Wei
Jieru Mei
Cihang Xie
114
36
0
18 Dec 2023
Graph Transformers for Large Graphs
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
Anh Tuan Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
66
8
0
18 Dec 2023
Towards Effective Multi-Moving-Camera Tracking: A New Dataset and
  Lightweight Link Model
Towards Effective Multi-Moving-Camera Tracking: A New Dataset and Lightweight Link Model
Yanting Zhang
Shuanghong Wang
Qingxiang Wang
Cairong Yan
Rui Fan
103
0
0
18 Dec 2023
ADF & TransApp: A Transformer-Based Framework for Appliance Detection
  Using Smart Meter Consumption Series
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
Adrien Petralia
Philippe Charpentier
Themis Palpanas
AI4TS
114
4
0
17 Dec 2023
Post-Training Quantization for Re-parameterization via Coarse & Fine
  Weight Splitting
Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting
Dawei Yang
Ning He
Xing Hu
Zhihang Yuan
Jiangyong Yu
Chen Xu
Zhe Jiang
MQ
90
7
0
17 Dec 2023
Learning Interpretable Queries for Explainable Image Classification with
  Information Pursuit
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
Stefan Kolek
Aditya Chattopadhyay
Kwan Ho Ryan Chan
Héctor Andrade-Loarca
Gitta Kutyniok
René Vidal
36
2
0
16 Dec 2023
How to Train Neural Field Representations: A Comprehensive Study and
  Benchmark
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa
Riccardo Valperga
David M. Knigge
Miltiadis Kofinas
Phillip Lippe
Jan-Jakob Sonke
E. Gavves
110
7
0
16 Dec 2023
Conformer-Based Speech Recognition On Extreme Edge-Computing Devices
Conformer-Based Speech Recognition On Extreme Edge-Computing Devices
Mingbin Xu
Alex Jin
Sicheng Wang
Mu Su
Tim Ng
...
Shiyi Han
Zhihong Lei
Yaqiao Deng
Zhen Huang
Mahesh Krishnamoorthy
70
5
0
16 Dec 2023
Spatial-Temporal DAG Convolutional Networks for End-to-End Joint
  Effective Connectivity Learning and Resting-State fMRI Classification
Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification
Rui Yang
Wenrui Dai
H. She
Yiping P. Du
Dapeng Wu
Hongkai Xiong
62
2
0
16 Dec 2023
One Self-Configurable Model to Solve Many Abstract Visual Reasoning
  Problems
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Mikolaj Malkiñski
Jacek Mańdziuk
64
4
0
15 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning
Fragility, Robustness and Antifragility in Deep Learning
Chandresh Pravin
Ivan Martino
Giuseppe Nicosia
Varun Ojha
83
0
0
15 Dec 2023
On the locality of local neural operator in learning fluid dynamics
On the locality of local neural operator in learning fluid dynamics
Ximeng Ye
Hongyu Li
Jingjie Huang
Guoliang Qin
AI4CE
77
10
0
15 Dec 2023
Toward Deep Drum Source Separation
Toward Deep Drum Source Separation
Alessandro Ilic Mezza
Riccardo Giampiccolo
Alberto Bernardini
Augusto Sarti
78
4
0
15 Dec 2023
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Unraveling Batch Normalization for Realistic Test-Time Adaptation
A. Mondal
Jingwei Guo
B. Roy
C. Roy
Qiufeng Wang
Kevin A. Schneider
73
5
0
15 Dec 2023
Text-Guided Face Recognition using Multi-Granularity Cross-Modal
  Contrastive Learning
Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning
Md Golam Moula Mehedi Hasan
S. Sami
Nasser M. Nasrabadi
65
6
0
14 Dec 2023
Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
81
4
0
14 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on
  Heterogeneous Computing Environments with APPFLx
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
Trung-Hieu Hoang
Jordan D. Fuhrman
Ravi K. Madduri
Miao Li
Pranshu Chaturvedi
...
Kibaek Kim
Minseok Ryu
Ryan Chard
Eliu A. Huerta
Maryellen L. Giger
94
6
0
14 Dec 2023
Deep Learning with Physics Priors as Generalized Regularizers
Deep Learning with Physics Priors as Generalized Regularizers
Frank Liu
Agniva Chowdhury
BDLPINNAI4CE
76
3
0
14 Dec 2023
Adaptive Shortcut Debiasing for Online Continual Learning
Adaptive Shortcut Debiasing for Online Continual Learning
Doyoung Kim
Dongmin Park
Yooju Shin
Jihwan Bang
Hwanjun Song
Jae-Gil Lee
CLL
89
3
0
14 Dec 2023
Pose and shear-based tactile servoing
Pose and shear-based tactile servoing
John Lloyd
Nathan Lepora
62
14
0
13 Dec 2023
Generalized Deepfakes Detection with Reconstructed-Blended Images and
  Multi-scale Feature Reconstruction Network
Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network
Yuyang Sun
H. Nguyen
Chun-Shien Lu
ZhiYong Zhang
Lu Sun
Isao Echizen
CVBM
87
2
0
13 Dec 2023
Balanced and Deterministic Weight-sharing Helps Network Performance
Balanced and Deterministic Weight-sharing Helps Network Performance
Oscar Chang
Hod Lipson
24
0
0
13 Dec 2023
SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion
SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion
Mojtaba Najafi Khatounabad
H. Keles
Selma Kadioglu
71
0
0
13 Dec 2023
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any
  Biomedical Image
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Hallee E. Wong
Marianne Rakic
John Guttag
Adrian V. Dalca
78
21
0
12 Dec 2023
GateNet: A novel Neural Network Architecture for Automated Flow
  Cytometry Gating
GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating
L. Fisch
M. Heming
A. Schulte-Mecklenbeck
C. Gross
Stefan Zumdick
...
N. Winter
U. Dannlowski
Heinz Wiendl
G. M. Hörste
Tim Hahn
53
1
0
12 Dec 2023
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time
  Semantic Segmentation
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation
Xiaojie Fang
Xingguo Song
Xiangyin Meng
Xu Fang
Sheng Jin
47
0
0
12 Dec 2023
Investigation into the Training Dynamics of Learned Optimizers
Investigation into the Training Dynamics of Learned Optimizers
Jan Sobotka
Petr Simánek
Daniel Vasata
80
0
0
12 Dec 2023
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