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Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift

Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

19 June 2020
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift"

40 / 40 papers shown
Title
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
361
0
0
08 May 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments
Hanyu Duan
Yi Yang
Ahmed Abbasi
Kar Yan Tam
OOD
120
0
0
05 Mar 2025
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
M-U Jang
Hye Won Chung
TTA
381
0
0
20 Nov 2024
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
Kui Jia
TTA
98
24
0
26 Sep 2023
An Empirical Evaluation on Robustness and Uncertainty of Regularization
  Methods
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Sanghyuk Chun
Seong Joon Oh
Sangdoo Yun
Dongyoon Han
Junsuk Choe
Y. Yoo
AAML
OOD
377
53
0
09 Mar 2020
Compounding the Performance Improvements of Assembled Techniques in a
  Convolutional Neural Network
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
Jungkyu Lee
Taeryun Won
Tae Kwan Lee
Hyemin Lee
Geonmo Gu
K. Hong
59
57
0
17 Jan 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
70
1,293
0
05 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
179
2,375
0
11 Nov 2019
Unsupervised Out-of-Distribution Detection with Batch Normalization
Unsupervised Out-of-Distribution Detection with Batch Normalization
Jiaming Song
Yang Song
Stefano Ermon
OODD
21
22
0
21 Oct 2019
On Empirical Comparisons of Optimizers for Deep Learning
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi
Christopher J. Shallue
Zachary Nado
Jaehoon Lee
Chris J. Maddison
George E. Dahl
51
259
0
11 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTA
OOD
47
93
0
29 Sep 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
155
1,454
0
16 Jul 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian
  Augmentation
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Raphael Gontijo-Lopes
Dong Yin
Ben Poole
Justin Gilmer
E. D. Cubuk
AAML
108
205
0
06 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
120
1,677
0
06 Jun 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
77
3,399
0
28 Mar 2019
Micro-Batch Training with Batch-Channel Normalization and Weight
  Standardization
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Siyuan Qiao
Huiyu Wang
Chenxi Liu
Wei Shen
Alan Yuille
MQ
52
144
0
25 Mar 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
39
162
0
08 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
64
1,693
0
13 Feb 2019
Fixup Initialization: Residual Learning Without Normalization
Fixup Initialization: Residual Learning Without Normalization
Hongyi Zhang
Yann N. Dauphin
Tengyu Ma
ODL
AI4CE
49
348
0
27 Jan 2019
A Survey of Unsupervised Deep Domain Adaptation
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
60
809
0
06 Dec 2018
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
87
1,769
0
04 Dec 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
39
753
0
22 Oct 2018
Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing
  GANs
Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs
Jerry Li
GAN
CVBM
31
20
0
26 Aug 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
119
3,626
0
22 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
124
4,421
0
16 Feb 2018
Modulating early visual processing by language
Modulating early visual processing by language
H. D. Vries
Florian Strub
Jérémie Mary
Hugo Larochelle
Olivier Pietquin
Aaron Courville
96
484
0
02 Jul 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
159
5,774
0
14 Jun 2017
AutoDIAL: Automatic DomaIn Alignment Layers
AutoDIAL: Automatic DomaIn Alignment Layers
Fabio Maria Carlucci
Lorenzo Porzi
Barbara Caputo
Elisa Ricci
Samuel Rota Buló
69
315
0
26 Apr 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
148
4,619
0
16 Apr 2017
Correlation Alignment for Unsupervised Domain Adaptation
Correlation Alignment for Unsupervised Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
37
398
0
06 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
443
5,748
0
05 Dec 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
274
1,160
0
24 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
568
36,599
0
25 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
113
3,689
0
27 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
199
10,412
0
21 Jul 2016
Revisiting Batch Normalization For Practical Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li
Naiyan Wang
Jianping Shi
Jiaying Liu
Xiaodi Hou
OOD
43
584
0
15 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
106
19,448
0
09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
224
43,154
0
11 Feb 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
163
5,163
0
10 Feb 2015
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