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Few-shot Domain Adaptation by Causal Mechanism Transfer

Few-shot Domain Adaptation by Causal Mechanism Transfer

10 February 2020
Takeshi Teshima
Issei Sato
Masashi Sugiyama
    OOD
    CML
    TTA
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Papers citing "Few-shot Domain Adaptation by Causal Mechanism Transfer"

20 / 20 papers shown
Title
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
71
13
0
15 Mar 2023
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
91
42,038
0
03 Dec 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Ilyes Khemakhem
Diederik P. Kingma
Ricardo Pio Monti
Aapo Hyvarinen
OOD
39
578
0
10 Jul 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
132
2,190
0
05 Jul 2019
Causal Discovery with General Non-Linear Relationships Using Non-Linear
  ICA
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA
R. Monti
Kun Zhang
Aapo Hyvarinen
CML
29
91
0
19 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
46
706
0
11 Apr 2019
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Seiichi Kuroki
Nontawat Charoenphakdee
Han Bao
Junya Honda
Issei Sato
Masashi Sugiyama
18
57
0
11 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
173
3,110
0
09 Jul 2018
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive
  Learning
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen
Hiroaki Sasaki
Richard Turner
OOD
CML
64
318
0
22 May 2018
Causal Generative Domain Adaptation Networks
Causal Generative Domain Adaptation Networks
Biwei Huang
Kun Zhang
Erdun Gao
Clark Glymour
Dacheng Tao
Kayhan Batmanghelich
CML
OOD
TTA
43
21
0
12 Apr 2018
Domain Adaptation by Using Causal Inference to Predict Invariant
  Conditional Distributions
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane
T. V. Ommen
Tom Claassen
Stephan Bongers
Philip Versteeg
Joris M. Mooij
OOD
CML
72
235
0
20 Jul 2017
Learning Causal Structures Using Regression Invariance
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
Kun Zhang
OOD
CML
40
60
0
26 May 2017
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OT
OOD
66
561
0
24 May 2017
Learning Bound for Parameter Transfer Learning
Learning Bound for Parameter Transfer Learning
Wataru Kumagai
MLT
SSL
28
16
0
27 Oct 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and
  Nonlinear ICA
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen
H. Morioka
CML
OOD
AI4TS
24
404
0
20 May 2016
Scaling-up Empirical Risk Minimization: Optimization of Incomplete
  U-statistics
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
Stephan Clémençon
A. Bellet
Igor Colin
21
43
0
12 Jan 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
316
149,474
0
22 Dec 2014
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-Paz
José Miguel Hernández-Lobato
Bernhard Schölkopf
62
34
0
01 Jan 2013
On Causal and Anticausal Learning
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
51
604
0
27 Jun 2012
Relative Density-Ratio Estimation for Robust Distribution Comparison
Relative Density-Ratio Estimation for Robust Distribution Comparison
M. Yamada
Taiji Suzuki
Takafumi Kanamori
Hirotaka Hachiya
Masashi Sugiyama
55
219
0
23 Jun 2011
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