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Micro-Batch Training with Batch-Channel Normalization and Weight
  Standardization

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

25 March 2019
Siyuan Qiao
Huiyu Wang
Chenxi Liu
Wei Shen
Alan Yuille
    MQ
ArXivPDFHTML

Papers citing "Micro-Batch Training with Batch-Channel Normalization and Weight Standardization"

50 / 88 papers shown
Title
Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
Vibhas Kumar Vats
Md. Alimoor Reza
David J. Crandall
Soon-Heung Jung
3DV
27
0
0
06 May 2025
ZNorm: Z-Score Gradient Normalization for Deep Neural Networks
ZNorm: Z-Score Gradient Normalization for Deep Neural Networks
Giorgia Adorni
Alberto Piatti
20
0
0
02 Aug 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated
  Learning
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
Hamid Mozaffari
Sunav Choudhary
Amir Houmansadr
27
2
0
10 Mar 2024
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View
  Stereo
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
Vibhas Kumar Vats
Sripad Joshi
David J. Crandall
Md. Alimoor Reza
Soon-Heung Jung
3DV
26
6
0
30 Oct 2023
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural
  Networks
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Atli Kosson
Bettina Messmer
Martin Jaggi
27
11
0
26 May 2023
Revisiting Context Aggregation for Image Matting
Revisiting Context Aggregation for Image Matting
Qinglin Liu
Xiaoqian Lv
Quanling Meng
Zonglin Li
Xiangyuan Lan
Shuo Yang
Shengping Zhang
Liqiang Nie
26
5
0
03 Apr 2023
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs
  Sparser Models
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models
Florian A. Hölzl
Daniel Rueckert
Georgios Kaissis
24
4
0
30 Jan 2023
Sequential Learning Of Neural Networks for Prequential MDL
Sequential Learning Of Neural Networks for Prequential MDL
J. Bornschein
Yazhe Li
Marcus Hutter
AI4TS
27
6
0
14 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences
Unsupervised Learning of Equivariant Structure from Sequences
Takeru Miyato
Masanori Koyama
Kenji Fukumizu
13
12
0
12 Oct 2022
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
45
60
0
09 Oct 2022
Federated Training of Dual Encoding Models on Small Non-IID Client
  Datasets
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Raviteja Vemulapalli
Warren Morningstar
Philip Mansfield
Hubert Eichner
K. Singhal
Arash Afkanpour
Bradley Green
FedML
29
2
0
30 Sep 2022
One-Trimap Video Matting
One-Trimap Video Matting
Hongje Seong
Seoung Wug Oh
Brian L. Price
Euntai Kim
Joon-Young Lee
26
13
0
27 Jul 2022
$L_2$BN: Enhancing Batch Normalization by Equalizing the $L_2$ Norms of
  Features
L2L_2L2​BN: Enhancing Batch Normalization by Equalizing the L2L_2L2​ Norms of Features
Zhennan Wang
Kehan Li
Runyi Yu
Yian Zhao
Pengchong Qiao
Chang-rui Liu
Fan Xu
Xiangyang Ji
Guoli Song
Jie Chen
14
0
0
06 Jul 2022
Generalization to translation shifts: a study in architectures and
  augmentations
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
11
1
0
05 Jul 2022
Realistic One-shot Mesh-based Head Avatars
Realistic One-shot Mesh-based Head Avatars
Taras Khakhulin
V. Sklyarova
Victor Lempitsky
Egor Zakharov
3DH
29
97
0
16 Jun 2022
Self-Labeling Refinement for Robust Representation Learning with
  Bootstrap Your Own Latent
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg
Dhruval Jain
SSL
33
0
0
09 Apr 2022
Logit Normalization for Long-tail Object Detection
Logit Normalization for Long-tail Object Detection
Liang Zhao
Yao Teng
Limin Wang
26
10
0
31 Mar 2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced
  Classification
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
Yuzhe Lu
Haichun Yang
Zuhayr Asad
Zheyu Zhu
Tianyuan Yao
Jiachen Xu
Agnes B. Fogo
Yuankai Huo
19
1
0
31 Jan 2022
GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic
  Animal Segmentation
GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation
Minh-Quan Le
Trung-Nghia Le
Tam V. Nguyen
Isao Echizen
M. Tran
23
0
0
12 Dec 2021
Towards Learning Universal Audio Representations
Towards Learning Universal Audio Representations
Luyu Wang
Pauline Luc
Yan Wu
Adrià Recasens
Lucas Smaira
...
Andrew Jaegle
Jean-Baptiste Alayrac
Sander Dieleman
João Carreira
Aaron van den Oord
SSL
24
68
0
23 Nov 2021
MQBench: Towards Reproducible and Deployable Model Quantization
  Benchmark
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Yuhang Li
Mingzhu Shen
Jian Ma
Yan Ren
Mingxin Zhao
Qi Zhang
Ruihao Gong
F. Yu
Junjie Yan
MQ
35
49
0
05 Nov 2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in
  the Field of Biodiversity
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Bernd Gruner
Matthias Körschens
Björn Barz
Joachim Denzler
16
0
0
22 Oct 2021
Single Plane-Wave Imaging using Physics-Based Deep Learning
Single Plane-Wave Imaging using Physics-Based Deep Learning
G. Pilikos
C. L. D. Korte
Tristan van Leeuwen
F. Lucka
17
4
0
08 Sep 2021
Deep Learning for Multi-View Ultrasonic Image Fusion
Deep Learning for Multi-View Ultrasonic Image Fusion
G. Pilikos
L. Horchens
Tristan van Leeuwen
F. Lucka
11
2
0
08 Sep 2021
Tensor Normalization and Full Distribution Training
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
OOD
19
4
0
06 Sep 2021
Semi-weakly Supervised Contrastive Representation Learning for Retinal
  Fundus Images
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap
B. Ng
SSL
25
3
0
04 Aug 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Andreassen
Yasaman Bahri
Behnam Neyshabur
Rebecca Roelofs
OOD
OODD
22
78
0
30 Jun 2021
Towards Single Stage Weakly Supervised Semantic Segmentation
Towards Single Stage Weakly Supervised Semantic Segmentation
Peri Akiva
Kristin J. Dana
19
8
0
18 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Page-Caccia
Joelle Pineau
CLL
SSL
11
18
0
16 Jun 2021
Contrastive Representation Learning for Hand Shape Estimation
Contrastive Representation Learning for Hand Shape Estimation
Christiane Zimmermann
Max Argus
Thomas Brox
3DH
SSL
19
41
0
08 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework
  for graphs
Graph Barlow Twins: A self-supervised representation learning framework for graphs
Piotr Bielak
Tomasz Kajdanowicz
Nitesh V. Chawla
SSL
11
133
0
04 Jun 2021
Single Stage Class Agnostic Common Object Detection: A Simple Baseline
Single Stage Class Agnostic Common Object Detection: A Simple Baseline
Chuong H. Nguyen
Thuy C. Nguyen
Anh H. Vo
Yamazaki Masayuki
ObjD
19
1
0
25 Apr 2021
Does enhanced shape bias improve neural network robustness to common
  corruptions?
Does enhanced shape bias improve neural network robustness to common corruptions?
Chaithanya Kumar Mummadi
Ranjitha Subramaniam
Robin Hutmacher
Julien Vitay
Volker Fischer
J. H. Metzen
19
40
0
20 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting
  the Long-Tail of Unseen Conditions
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yun-hui Liu
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
18
103
0
08 Apr 2021
Delving into Variance Transmission and Normalization: Shift of Average
  Gradient Makes the Network Collapse
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
YuXiang Liu
Jidong Ge
Chuanyi Li
Jie Gui
13
2
0
22 Mar 2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical
  Image Analysis
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Yuzhe Lu
Aadarsh Jha
Yuankai Huo
MedIm
19
4
0
04 Mar 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half
  Precision
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Bjorck
Xiangyu Chen
Christopher De Sa
Carla P. Gomes
Kilian Q. Weinberger
15
6
0
26 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping
Large-Scale Representation Learning on Graphs via Bootstrapping
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
SSL
18
215
0
12 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
Weight Rescaling: Effective and Robust Regularization for Deep Neural
  Networks with Batch Normalization
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization
Ziquan Liu
Yufei Cui
Jia Wan
Yushun Mao
Antoni B. Chan
10
2
0
06 Feb 2021
Meta Adversarial Training against Universal Patches
Meta Adversarial Training against Universal Patches
J. H. Metzen
Nicole Finnie
Robin Hutmacher
OOD
AAML
17
21
0
27 Jan 2021
Characterizing signal propagation to close the performance gap in
  unnormalized ResNets
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock
Soham De
Samuel L. Smith
31
120
0
21 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging
Supervised Transfer Learning at Scale for Medical Imaging
Basil Mustafa
Aaron Loh
Jan Freyberg
Patricia MacWilliams
Megan Wilson
...
Shruthi Prabhakara
Umesh Telang
Alan Karthikesalingam
N. Houlsby
Vivek Natarajan
LM&MA
14
67
0
14 Jan 2021
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
27
89
0
09 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for
  uncertainty quantification
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
BDL
UQCV
14
22
0
04 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang
Yutong Xie
Yan Wang
Yong-quan Xia
SSeg
MedIm
24
88
0
28 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation
Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen
Huiyu Wang
Siyuan Qiao
SSeg
27
47
0
23 Nov 2020
DoDNet: Learning to segment multi-organ and tumors from multiple
  partially labeled datasets
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
Jianpeng Zhang
Yutong Xie
Yong-quan Xia
Chunhua Shen
14
155
0
20 Nov 2020
Channel Pruning Guided by Spatial and Channel Attention for DNNs in
  Intelligent Edge Computing
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing
Mengran Liu
Weiwei Fang
Xiaodong Ma
Wenyuan Xu
N. Xiong
Yi Ding
AAML
19
21
0
08 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
41
39,217
0
22 Oct 2020
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