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Learning to Generalize: Meta-Learning for Domain Generalization

Learning to Generalize: Meta-Learning for Domain Generalization

10 October 2017
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
    OOD
ArXivPDFHTML

Papers citing "Learning to Generalize: Meta-Learning for Domain Generalization"

50 / 244 papers shown
Title
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
26
131
0
21 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
24
3
0
17 Mar 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and
  Domain Generalization
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Yabin Zhang
Minghan Li
Ruihuang Li
K. Jia
Lei Zhang
OOD
24
161
0
15 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
42
29
0
15 Mar 2022
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part
  Segmentation
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation
Xueyi Liu
Xiaomeng Xu
Anyi Rao
Chuang Gan
L. Yi
3DPC
24
14
0
13 Mar 2022
Global-Local Regularization Via Distributional Robustness
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
14
12
0
01 Mar 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Dongwan Kim
Yi-Hsuan Tsai
Yumin Suh
M. Faraki
Sparsh Garg
Manmohan Chandraker
Bohyung Han
20
20
0
28 Feb 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
18
8
0
13 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
18
175
0
08 Feb 2022
Source data selection for out-of-domain generalization
Source data selection for out-of-domain generalization
Xinran Miao
Kris Sankaran
OODD
6
0
0
04 Feb 2022
Controlling Directions Orthogonal to a Classifier
Controlling Directions Orthogonal to a Classifier
Yilun Xu
Hao He
T. Shen
Tommi Jaakkola
61
19
0
27 Jan 2022
Conditional entropy minimization principle for learning domain invariant
  representation features
Conditional entropy minimization principle for learning domain invariant representation features
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
27
7
0
25 Jan 2022
Cross-Domain Few-Shot Graph Classification
Cross-Domain Few-Shot Graph Classification
Kaveh Hassani
10
31
0
20 Jan 2022
Boosting Robustness of Image Matting with Context Assembling and Strong
  Data Augmentation
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation
Yutong Dai
Brian L. Price
He Zhang
Chunhua Shen
23
28
0
18 Jan 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning
  Across Visual Domains
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Yuan-Chia Cheng
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
30
1
0
27 Dec 2021
Dual Contrastive Learning for General Face Forgery Detection
Dual Contrastive Learning for General Face Forgery Detection
Ke Sun
Taiping Yao
Shen Chen
Shouhong Ding
L. Jilin
Rongrong Ji
CVBM
16
171
0
27 Dec 2021
MVDG: A Unified Multi-view Framework for Domain Generalization
MVDG: A Unified Multi-view Framework for Domain Generalization
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
21
29
0
23 Dec 2021
Lifelong Unsupervised Domain Adaptive Person Re-identification with
  Coordinated Anti-forgetting and Adaptation
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
Zhipeng Huang
Zhizheng Zhang
Cuiling Lan
Wenjun Zeng
Peng Chu
Quanzeng You
Jiang Wang
Zicheng Liu
Zhengjun Zha
CLL
33
36
0
13 Dec 2021
Causal-based Time Series Domain Generalization for Vehicle Intention
  Prediction
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu
Xiaogang Jia
M. Tomizuka
Wei Zhan
OOD
38
25
0
03 Dec 2021
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
31
112
0
27 Nov 2021
Confounder Identification-free Causal Visual Feature Learning
Confounder Identification-free Causal Visual Feature Learning
Xin Li
Zhizheng Zhang
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Xin Jin
Zhibo Chen
CML
OOD
22
14
0
26 Nov 2021
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
X. Zhang
S. Gu
Yutaka Matsuo
Yusuke Iwasawa
VLM
35
36
0
25 Nov 2021
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural
  Network for MR Image Reconstruction using Dynamic Weight Prediction
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
24
8
0
09 Nov 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
31
125
0
18 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for
  Strategic Diversity
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
M. Garnelo
Wojciech M. Czarnecki
Siqi Liu
Dhruva Tirumala
Junhyuk Oh
Gauthier Gidel
H. V. Hasselt
David Balduzzi
24
25
0
08 Oct 2021
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Dynamically Decoding Source Domain Knowledge for Domain Generalization
Cuicui Kang
Karthik Nandakumar
OOD
ViT
29
1
0
06 Oct 2021
Test-time Batch Statistics Calibration for Covariate Shift
Test-time Batch Statistics Calibration for Covariate Shift
Fuming You
Jingjing Li
Zhou Zhao
OOD
17
54
0
06 Oct 2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical
  Image Segmentation
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
Ran Gu
Jingyang Zhang
Rui Huang
Wenhui Lei
Guotai Wang
Shaoting Zhang
OOD
13
27
0
18 Sep 2021
On the inductive biases of deep domain adaptation
On the inductive biases of deep domain adaptation
Rodrigue Siry
Louis Hémadou
Loïc Simon
F. Jurie
27
3
0
16 Sep 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee
Myunggi Lee
Nojun Kwak
ObjD
25
30
0
16 Sep 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on
  Medical Image Segmentation
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang
Shujun Wang
Lei Zhu
Lequan Yu
37
10
0
13 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings
Shape-Biased Domain Generalization via Shock Graph Embeddings
M. Narayanan
Vickram Rajendran
Benjamin Kimia
14
14
0
13 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via
  Knowledge Corruption
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
A. Frikha
Denis Krompass
Volker Tresp
OOD
35
1
0
09 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
38
204
0
07 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
49
516
0
31 Aug 2021
Self-balanced Learning For Domain Generalization
Self-balanced Learning For Domain Generalization
Jin-Hwa Kim
Jiyoung Lee
Jungin Park
Dongbo Min
K. Sohn
OOD
AI4CE
13
6
0
31 Aug 2021
Learning to Diversify for Single Domain Generalization
Learning to Diversify for Single Domain Generalization
Zijian Wang
Yadan Luo
Ruihong Qiu
Zi Huang
Mahsa Baktash
32
248
0
26 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain
  Generalization
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Mohammad Mahfujur Rahman
Clinton Fookes
S. Sridharan
OOD
18
3
0
20 Aug 2021
Meta Gradient Adversarial Attack
Meta Gradient Adversarial Attack
Zheng Yuan
Jie M. Zhang
Yunpei Jia
Chuanqi Tan
Tao Xue
Shiguang Shan
AAML
49
78
0
09 Aug 2021
Global and Local Texture Randomization for Synthetic-to-Real Semantic
  Segmentation
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
Duo Peng
Yinjie Lei
Lingqiao Liu
Pingping Zhang
Jun Liu
22
73
0
05 Aug 2021
Domain Generalization via Gradient Surgery
Domain Generalization via Gradient Surgery
Lucas Mansilla
Rodrigo Echeveste
Diego H. Milone
Enzo Ferrante
OOD
19
78
0
03 Aug 2021
Model Transferability With Responsive Decision Subjects
Model Transferability With Responsive Decision Subjects
Yatong Chen
Zeyu Tang
Kun Zhang
Yang Liu
38
10
0
13 Jul 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 Jun 2021
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally Generalize
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
26
73
0
08 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
40
106
0
07 Jun 2021
Quantifying and Improving Transferability in Domain Generalization
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
37
37
0
07 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of
  Invariances in Domain Generalization
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
Soroosh Shahtalebi
Jean-Christophe Gagnon-Audet
Touraj Laleh
Mojtaba Faramarzi
Kartik Ahuja
Irina Rish
23
59
0
04 Jun 2021
Privacy-Preserving Constrained Domain Generalization via Gradient
  Alignment
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
13
4
0
14 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
UQCV
OOD
29
39
0
09 May 2021
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