Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1710.03463
Cited By
Learning to Generalize: Meta-Learning for Domain Generalization
10 October 2017
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
Re-assign community
ArXiv
PDF
HTML
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
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
26
131
0
21 Mar 2022
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
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
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
Xueyi Liu
Xiaomeng Xu
Anyi Rao
Chuang Gan
L. Yi
3DPC
24
14
0
13 Mar 2022
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
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
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
18
8
0
13 Feb 2022
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
Xinran Miao
Kris Sankaran
OODD
6
0
0
04 Feb 2022
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
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
27
7
0
25 Jan 2022
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
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
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
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
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
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
Yeping Hu
Xiaogang Jia
M. Tomizuka
Wei Zhan
OOD
38
25
0
03 Dec 2021
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
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
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
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
24
8
0
09 Nov 2021
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
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
Cuicui Kang
Karthik Nandakumar
OOD
ViT
29
1
0
06 Oct 2021
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
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
Rodrigue Siry
Louis Hémadou
Loïc Simon
F. Jurie
27
3
0
16 Sep 2021
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
Yijun Yang
Shujun Wang
Lei Zhu
Lequan Yu
37
10
0
13 Sep 2021
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
A. Frikha
Denis Krompass
Volker Tresp
OOD
35
1
0
09 Sep 2021
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
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
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
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
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
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
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
Duo Peng
Yinjie Lei
Lingqiao Liu
Pingping Zhang
Jun Liu
22
73
0
05 Aug 2021
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
Yatong Chen
Zeyu Tang
Kun Zhang
Yang Liu
38
10
0
13 Jul 2021
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
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
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
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
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
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
13
4
0
14 May 2021
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
Previous
1
2
3
4
5
Next