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Domain Generalization by Marginal Transfer Learning

Domain Generalization by Marginal Transfer Learning

21 November 2017
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
    OOD
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Papers citing "Domain Generalization by Marginal Transfer Learning"

15 / 64 papers shown
Title
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
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
30
59
0
04 Jun 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
62
264
0
20 Apr 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
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
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
33
263
0
18 Feb 2021
Cross-study learning for generalist and specialist predictions
Cross-study learning for generalist and specialist predictions
Boyu Ren
Prasad Patil
Francesca Dominici
Giovanni Parmigiani
L. Trippa
22
10
0
24 Jul 2020
On the Value of Target Data in Transfer Learning
On the Value of Target Data in Transfer Learning
Steve Hanneke
Samory Kpotufe
29
74
0
12 Feb 2020
Hyperparameter Learning via Distributional Transfer
Hyperparameter Learning via Distributional Transfer
H. Law
P. Zhao
Lucian Chan
Junzhou Huang
Dino Sejdinovic
16
25
0
15 Oct 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
M. Lerasle
Z. Szabó
Gaspar Massiot
Guillaume Lecué
31
34
0
13 Feb 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
362
11,700
0
09 Mar 2017
Learning Attributes Equals Multi-Source Domain Generalization
Learning Attributes Equals Multi-Source Domain Generalization
Chuang Gan
Tianbao Yang
Boqing Gong
OOD
152
197
0
03 May 2016
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
790
0
19 Feb 2009
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