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Uncertainty-guided Model Generalization to Unseen Domains

Uncertainty-guided Model Generalization to Unseen Domains

12 March 2021
Fengchun Qiao
Xi Peng
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty-guided Model Generalization to Unseen Domains"

48 / 48 papers shown
Title
SMIL: Multimodal Learning with Severely Missing Modality
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma
Jian Ren
Long Zhao
Sergey Tulyakov
Cathy H. Wu
Xi Peng
81
249
0
09 Mar 2021
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OOD
AAML
73
167
0
15 Oct 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain
  Generalization
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
Shujun Wang
Lequan Yu
Caizi Li
Chi-Wing Fu
Pheng-Ann Heng
OOD
46
191
0
18 Jul 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
105
438
0
30 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
142
10,591
0
17 Feb 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
75
1,293
0
05 Dec 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
90
688
0
29 Oct 2019
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
D. Song
OOD
SSL
28
940
0
28 Jun 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and
  Out-of-distribution Tasks
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
Haebeom Lee
Hayeon Lee
Donghyun Na
Saehoon Kim
Minseop Park
Eunho Yang
Sung Ju Hwang
BDL
OODD
42
106
0
30 May 2019
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
ddd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
30
120
0
29 May 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
77
944
0
29 May 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
88
3,399
0
28 Mar 2019
Addressing Model Vulnerability to Distributional Shifts over Image
  Transformation Sets
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets
Riccardo Volpi
Vittorio Murino
45
29
0
28 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles
Domain Generalization by Solving Jigsaw Puzzles
Fabio Maria Carlucci
A. DÍnnocente
S. Bucci
Barbara Caputo
Tatiana Tommasi
SSL
54
810
0
16 Mar 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
230
279
0
03 Dec 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
269
499
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
248
666
0
07 Jun 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
81
773
0
30 May 2018
Jointly Optimize Data Augmentation and Network Training: Adversarial
  Data Augmentation in Human Pose Estimation
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Xi Peng
Zhiqiang Tang
Fei Yang
Rogerio Feris
Dimitris N. Metaxas
47
205
0
24 May 2018
Generalizing Across Domains via Cross-Gradient Training
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar
Vihari Piratla
Soumen Chakrabarti
S. Chaudhuri
Preethi Jyothi
Sunita Sarawagi
OOD
34
511
0
28 Apr 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
43
1,599
0
09 Apr 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
50
614
0
23 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
60
505
0
26 Jan 2018
Image to Image Translation for Domain Adaptation
Image to Image Translation for Domain Adaptation
Zak Murez
Soheil Kolouri
D. Kriegman
R. Ramamoorthi
Kyungnam Kim
OOD
35
528
0
01 Dec 2017
Few-Shot Adversarial Domain Adaptation
Few-Shot Adversarial Domain Adaptation
Saeid Motiian
Q. Jones
Seyed Mehdi Iranmanesh
Gianfranco Doretto
42
410
0
05 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
96
1,049
0
05 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial
  Training
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha
Hongseok Namkoong
Riccardo Volpi
John C. Duchi
OOD
76
858
0
29 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
221
9,687
0
25 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
75
1,404
0
10 Oct 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
84
1,427
0
09 Oct 2017
Unified Deep Supervised Domain Adaptation and Generalization
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian
Marco Piccirilli
Donald Adjeroh
Gianfranco Doretto
OOD
69
782
0
28 Sep 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
69
3,739
0
15 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
203
11,962
0
19 Jun 2017
From source to target and back: symmetric bi-directional adaptive GAN
From source to target and back: symmetric bi-directional adaptive GAN
P. Russo
Fabio Maria Carlucci
Tatiana Tommasi
Barbara Caputo
GAN
52
241
0
24 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
748
11,793
0
09 Mar 2017
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
228
7,951
0
23 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
255
37,704
0
20 May 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
134
1,933
0
25 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
401
27,231
0
02 Dec 2015
Domain Generalization for Object Recognition with Multi-task
  Autoencoders
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
David Balduzzi
ViT
OOD
57
657
0
31 Aug 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
257
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
624
149,474
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
148
18,922
0
20 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
192
5,972
0
26 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
150
14,831
1
21 Dec 2013
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
64
1,166
0
10 Jan 2013
Marginalized Denoising Autoencoders for Domain Adaptation
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen
Z. Xu
Kilian Q. Weinberger
Fei Sha
50
818
0
18 Jun 2012
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