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

50 / 300 papers shown
Title
Latent Causal Invariant Model
Latent Causal Invariant Model
Xinwei Sun
Botong Wu
Xiangyu Zheng
Chang-Shu Liu
Wei Chen
Tao Qin
Tie-Yan Liu
OOD
CML
BDL
29
14
0
04 Nov 2020
TAMPC: A Controller for Escaping Traps in Novel Environments
TAMPC: A Controller for Escaping Traps in Novel Environments
Sheng Zhong
Zhenyuan Zhang
Nima Fazeli
Dmitry Berenson
28
7
0
23 Oct 2020
Unsupervised Neural Machine Translation for Low-Resource Domains via
  Meta-Learning
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Cheonbok Park
Yunwon Tae
Taehee Kim
Soyoung Yang
Mohammad Azam Khan
Lucy Park
Jaegul Choo
102
17
0
18 Oct 2020
Adversarial Learning for Zero-shot Domain Adaptation
Adversarial Learning for Zero-shot Domain Adaptation
Jinghua Wang
Jianmin Jiang
GAN
32
15
0
11 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
39
264
0
01 Sep 2020
Domain Generalizer: A Few-shot Meta Learning Framework for Domain
  Generalization in Medical Imaging
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging
Pulkit Khandelwal
Paul Yushkevich
OOD
8
37
0
18 Aug 2020
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
53
190
0
25 Jul 2020
Learning Variational Data Assimilation Models and Solvers
Learning Variational Data Assimilation Models and Solvers
Ronan Fablet
Bertrand Chapron
Lucas Drumetz
É. Mémin
O. Pannekoucke
F. Rousseau
6
67
0
25 Jul 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
26
191
0
18 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain
  Generalization
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du
Jun Xu
Huan Xiong
Qiang Qiu
Xiantong Zhen
Cees G. M. Snoek
Ling Shao
BDL
OOD
30
163
0
15 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
17
68
0
14 Jul 2020
Learning to Generate Novel Domains for Domain Generalization
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
30
445
0
07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
21
85
0
06 Jul 2020
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to
  Unseen Domains
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
Quande Liu
Qi Dou
Pheng-Ann Heng
OOD
36
192
0
04 Jul 2020
Frustratingly Simple Domain Generalization via Image Stylization
Frustratingly Simple Domain Generalization via Image Stylization
Nathan Somavarapu
Chih-Yao Ma
Z. Kira
OOD
20
64
0
19 Jun 2020
Domain Generalization using Causal Matching
Domain Generalization using Causal Matching
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
19
325
0
12 Jun 2020
Learning the geometry of wave-based imaging
Learning the geometry of wave-based imaging
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
AI4CE
27
8
0
10 Jun 2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic
  Meta-Learning in NLP Applications
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications
Zequn Liu
Ruiyi Zhang
Yiping Song
Wei Ju
Ming Zhang
38
8
0
24 May 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
64
1,935
0
11 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
OOD
23
162
0
09 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain
  Adaptation
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li
Timothy M. Hospedales
22
102
0
09 Apr 2020
Sequential Learning for Domain Generalization
Sequential Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
8
33
0
03 Apr 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
52
431
0
30 Mar 2020
Learning Meta Face Recognition in Unseen Domains
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBM
OOD
22
142
0
17 Mar 2020
Explainable Deep Classification Models for Domain Generalization
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino
Sarah Adel Bargal
Riccardo Volpi
M. Sameki
Jianming Zhang
Stan Sclaroff
Vittorio Murino
Kate Saenko
FAtt
16
39
0
13 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
215
405
0
12 Mar 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving
  Adversarial Text Generation
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Haiyan Yin
Dingcheng Li
Xu Li
P. Li
37
23
0
12 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi
Xiang Yu
Kihyuk Sohn
Manmohan Chandraker
Anil K. Jain
CVBM
OOD
17
148
0
26 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
32
387
0
23 Jan 2020
Domain-invariant Stereo Matching Networks
Domain-invariant Stereo Matching Networks
Feihu Zhang
Xiaojuan Qi
Ruigang Yang
V. Prisacariu
B. Wah
Philip Torr
OOD
16
167
0
29 Nov 2019
Domain Generalization Using a Mixture of Multiple Latent Domains
Domain Generalization Using a Mixture of Multiple Latent Domains
Toshihiko Matsuura
Tatsuya Harada
OOD
23
323
0
18 Nov 2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with
  Minimal Resources
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu
Zijia Lin
Guoxin Wang
Hui Chen
Börje F. Karlsson
Biqing Huang
Chin-Yew Lin
16
68
0
14 Nov 2019
Generalizing to unseen domains via distribution matching
Generalizing to unseen domains via distribution matching
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
OOD
24
154
0
03 Nov 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
57
685
0
29 Oct 2019
Domain-agnostic Question-Answering with Adversarial Training
Domain-agnostic Question-Answering with Adversarial Training
Seanie Lee
Donggyu Kim
Jangwon Park
OOD
32
72
0
21 Oct 2019
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic
  Training
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Yuqi Cui
Yifan Xu
Dongrui Wu
19
62
0
25 Sep 2019
Open Compound Domain Adaptation
Open Compound Domain Adaptation
Ziwei Liu
Zhongqi Miao
Xingang Pan
Xiaohang Zhan
Dahua Lin
Stella X. Yu
Boqing Gong
39
131
0
08 Sep 2019
Exploring Domain Shift in Extractive Text Summarization
Exploring Domain Shift in Extractive Text Summarization
Danqing Wang
Pengfei Liu
Ming Zhong
Jie Fu
Xipeng Qiu
Xuanjing Huang
21
36
0
30 Aug 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
28
198
0
24 May 2019
A Generalization Error Bound for Multi-class Domain Generalization
A Generalization Error Bound for Multi-class Domain Generalization
A. Deshmukh
Yunwen Lei
Srinagesh Sharma
Ürün Dogan
J. Cutler
Clayton Scott
18
36
0
24 May 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
41
806
0
16 Mar 2019
Learning Robust Representations by Projecting Superficial Statistics Out
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang
Zexue He
Zachary Chase Lipton
Eric P. Xing
OOD
36
234
0
02 Mar 2019
Learning to see across Domains and Modalities
Learning to see across Domains and Modalities
Fabio Maria Carlucci
29
0
0
13 Feb 2019
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using
  Meta-Learning
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman
Kiana Ehsani
Mohammad Rastegari
Ali Farhadi
Roozbeh Mottaghi
SSL
25
222
0
03 Dec 2018
ProMP: Proximal Meta-Policy Search
ProMP: Proximal Meta-Policy Search
Jonas Rothfuss
Dennis Lee
I. Clavera
Tamim Asfour
Pieter Abbeel
29
209
0
16 Oct 2018
Domain Generalization with Domain-Specific Aggregation Modules
Domain Generalization with Domain-Specific Aggregation Modules
A. DÍnnocente
Barbara Caputo
OOD
18
136
0
28 Sep 2018
Learning Invariances for Policy Generalization
Learning Invariances for Policy Generalization
Rémi Tachet des Combes
Philip Bachman
H. V. Seijen
20
12
0
07 Sep 2018
Hallucinating Agnostic Images to Generalize Across Domains
Hallucinating Agnostic Images to Generalize Across Domains
Fabio Maria Carlucci
P. Russo
Tatiana Tommasi
Barbara Caputo
OOD
37
14
0
03 Aug 2018
Best sources forward: domain generalization through source-specific nets
Best sources forward: domain generalization through source-specific nets
Massimiliano Mancini
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
TTA
OOD
10
159
0
15 Jun 2018
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
365
11,700
0
09 Mar 2017
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