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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
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Haebeom Lee
Hayeon Lee
Jaewoong Shin
Eunho Yang
Timothy M. Hospedales
Sung Ju Hwang
DD
30
2
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
23
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
32
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
33
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
25
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
40
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
55
517
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
Kwanghoon Sohn
OOD
AI4CE
21
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
44
249
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
Sridha Sridharan
OOD
20
3
0
20 Aug 2021
Meta Gradient Adversarial Attack
Meta Gradient Adversarial Attack
Zheng Yuan
Jie 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
25
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
24
78
0
03 Aug 2021
Property-Aware Relation Networks for Few-Shot Molecular Property
  Prediction
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
42
68
0
16 Jul 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
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OOD
OODD
24
48
0
29 Jun 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
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
21
31
0
09 Jun 2021
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally Generalize
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
37
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
40
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
33
59
0
04 Jun 2021
A Fourier-based Framework for Domain Generalization
A Fourier-based Framework for Domain Generalization
Qinwei Xu
Ruipeng Zhang
Ya Zhang
Yanfeng Wang
Qi Tian
OOD
26
424
0
24 May 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
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
65
264
0
20 Apr 2021
Contrastive Syn-to-Real Generalization
Contrastive Syn-to-Real Generalization
Wuyang Chen
Zhiding Yu
Shalini De Mello
Sifei Liu
J. Álvarez
Zhangyang Wang
Anima Anandkumar
23
46
0
06 Apr 2021
Domain Generalization with MixStyle
Domain Generalization with MixStyle
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
71
744
0
05 Apr 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Shanyan Guan
Jingwei Xu
Yunbo Wang
Bingbing Ni
Xiaokang Yang
3DH
33
50
0
30 Mar 2021
Adaptive Methods for Real-World Domain Generalization
Adaptive Methods for Real-World Domain Generalization
Abhimanyu Dubey
Vignesh Ramanathan
Alex Pentland
D. Mahajan
OOD
30
88
0
29 Mar 2021
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Massimiliano Mancini
Lorenzo Porzi
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
20
27
0
25 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
26
59
0
20 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via
  Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu
Cheng Chen
J. Qin
Qi Dou
Pheng-Ann Heng
OOD
FedML
35
427
0
10 Mar 2021
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
49
239
0
09 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for
  Unsupervised Person Re-Identification
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
Fengxiang Yang
Zhun Zhong
Zhiming Luo
Yuanzheng Cai
Yaojin Lin
Shaozi Li
N. Sebe
NoLa
27
111
0
08 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
FSDR: Frequency Space Domain Randomization for Domain Generalization
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
39
218
0
03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,177
0
02 Mar 2021
Neuron Coverage-Guided Domain Generalization
Neuron Coverage-Guided Domain Generalization
Chris Xing Tian
Haoliang Li
Xiaofei Xie
Yang Liu
Shiqi Wang
23
35
0
27 Feb 2021
A microservice-based framework for exploring data selection in
  cross-building knowledge transfer
A microservice-based framework for exploring data selection in cross-building knowledge transfer
Mouna Labiadh
C. Obrecht
Catarina Ferreira da Silva
P. Ghodous
23
4
0
23 Feb 2021
Transferability of Neural Network Clinical De-identification Systems
Transferability of Neural Network Clinical De-identification Systems
Kahyun Lee
Nicholas J. Dobbins
Bridget T. McInnes
Meliha Yetisgen
Özlem Uzuner
OOD
28
5
0
17 Feb 2021
Rethinking Domain Generalization Baselines
Rethinking Domain Generalization Baselines
Francesco Cappio Borlino
A. DÍnnocente
Tatiana Tommasi
OOD
19
40
0
22 Jan 2021
Learning Prediction Intervals for Model Performance
Learning Prediction Intervals for Model Performance
Benjamin Elder
Matthew Arnold
Anupama Murthi
Jirí Navrátil
19
10
0
15 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
83
1,377
0
14 Dec 2020
Meta Batch-Instance Normalization for Generalizable Person
  Re-Identification
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Seokeon Choi
Taekyung Kim
Minki Jeong
Hyoungseob Park
Changick Kim
OOD
32
129
0
30 Nov 2020
Batch Normalization Embeddings for Deep Domain Generalization
Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segu
A. Tonioni
Federico Tombari
OOD
AI4CE
35
129
0
25 Nov 2020
Domain Generalization in Biosignal Classification
Domain Generalization in Biosignal Classification
T. Dissanayake
Tharindu Fernando
Simon Denman
H. Ghaemmaghami
Sridha Sridharan
Clinton Fookes
OOD
11
17
0
12 Nov 2020
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