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1903.10520
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Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
25 March 2019
Siyuan Qiao
Huiyu Wang
Chenxi Liu
Wei Shen
Alan Yuille
MQ
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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
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Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
Hamid Mozaffari
Sunav Choudhary
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10 Mar 2024
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
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30 Oct 2023
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Atli Kosson
Bettina Messmer
Martin Jaggi
27
11
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26 May 2023
Revisiting Context Aggregation for Image Matting
Qinglin Liu
Xiaoqian Lv
Quanling Meng
Zonglin Li
Xiangyuan Lan
Shuo Yang
Shengping Zhang
Liqiang Nie
26
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03 Apr 2023
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models
Florian A. Hölzl
Daniel Rueckert
Georgios Kaissis
24
4
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30 Jan 2023
Sequential Learning Of Neural Networks for Prequential MDL
J. Bornschein
Yazhe Li
Marcus Hutter
AI4TS
25
6
0
14 Oct 2022
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
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
43
60
0
09 Oct 2022
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
27
2
0
30 Sep 2022
One-Trimap Video Matting
Hongje Seong
Seoung Wug Oh
Brian L. Price
Euntai Kim
Joon-Young Lee
26
13
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27 Jul 2022
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BN: Enhancing Batch Normalization by Equalizing the
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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
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06 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
11
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05 Jul 2022
Realistic One-shot Mesh-based Head Avatars
Taras Khakhulin
V. Sklyarova
Victor Lempitsky
Egor Zakharov
3DH
29
97
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16 Jun 2022
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
Liang Zhao
Yao Teng
Limin Wang
26
10
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31 Mar 2022
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
Minh-Quan Le
Trung-Nghia Le
Tam V. Nguyen
Isao Echizen
M. Tran
21
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0
12 Dec 2021
Towards Learning Universal Audio Representations
Luyu Wang
Pauline Luc
Yan Wu
Adrià Recasens
Lucas Smaira
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Andrew Jaegle
Jean-Baptiste Alayrac
Sander Dieleman
João Carreira
Aaron van den Oord
SSL
24
68
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23 Nov 2021
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
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Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Bernd Gruner
Matthias Körschens
Björn Barz
Joachim Denzler
14
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22 Oct 2021
Single Plane-Wave Imaging using Physics-Based Deep Learning
G. Pilikos
C. L. D. Korte
Tristan van Leeuwen
F. Lucka
17
4
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08 Sep 2021
Deep Learning for Multi-View Ultrasonic Image Fusion
G. Pilikos
L. Horchens
Tristan van Leeuwen
F. Lucka
11
2
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08 Sep 2021
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
OOD
19
4
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06 Sep 2021
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap
B. Ng
SSL
25
3
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04 Aug 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Andreassen
Yasaman Bahri
Behnam Neyshabur
Rebecca Roelofs
OOD
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22
78
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30 Jun 2021
Towards Single Stage Weakly Supervised Semantic Segmentation
Peri Akiva
Kristin J. Dana
19
8
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18 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Page-Caccia
Joelle Pineau
CLL
SSL
11
18
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16 Jun 2021
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
Piotr Bielak
Tomasz Kajdanowicz
Nitesh V. Chawla
SSL
11
133
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04 Jun 2021
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?
Chaithanya Kumar Mummadi
Ranjitha Subramaniam
Robin Hutmacher
Julien Vitay
Volker Fischer
J. H. Metzen
16
40
0
20 Apr 2021
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
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08 Apr 2021
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
YuXiang Liu
Jidong Ge
Chuanyi Li
Jie Gui
13
2
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22 Mar 2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Yuzhe Lu
Aadarsh Jha
Yuankai Huo
MedIm
19
4
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04 Mar 2021
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
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26 Feb 2021
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
15
215
0
12 Feb 2021
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
Ziquan Liu
Yufei Cui
Jia Wan
Yushun Mao
Antoni B. Chan
10
2
0
06 Feb 2021
Meta Adversarial Training against Universal Patches
J. H. Metzen
Nicole Finnie
Robin Hutmacher
OOD
AAML
17
21
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27 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock
Soham De
Samuel L. Smith
28
120
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21 Jan 2021
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
11
67
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14 Jan 2021
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
27
89
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09 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
BDL
UQCV
12
22
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Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang
Yutong Xie
Yan Wang
Yong-quan Xia
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MedIm
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Scaling Wide Residual Networks for Panoptic Segmentation
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Huiyu Wang
Siyuan Qiao
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DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
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Yutong Xie
Yong-quan Xia
Chunhua Shen
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155
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20 Nov 2020
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
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19
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
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G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
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39,217
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22 Oct 2020
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