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2002.03497
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Few-shot Domain Adaptation by Causal Mechanism Transfer
International Conference on Machine Learning (ICML), 2020
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"
47 / 47 papers shown
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Xiaofeng Cao
Mingwei Xu
Xin Yu
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Ivor Tsang
Yew-Soon Ong
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204
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Unsupervised Structural-Counterfactual Generation under Domain Shift
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Lokesh Venkata Siva Maruthi Badisa
Saksham Mittal
Kusampudi Venkata Datta Sri Harsha
Chitneedi Geetha Sowmya
SakethaNath Jagarlapudi
OOD
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280
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0
17 Feb 2025
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression
European Conference on Computer Vision (ECCV), 2024
Hao-Ran Yang
Chuan-Xian Ren
You-Wei Luo
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257
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13 Aug 2024
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding
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195
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30 May 2024
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Sizhuo Li
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Martin Brandt
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232
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01 May 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
Xiaofei Wang
Yunfeng Zhao
Chao Qiu
Qinghua Hu
Victor C. M. Leung
231
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0
20 Apr 2024
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
Yuqin Yang
Saber Salehkaleybar
Negar Kiyavash
CML
357
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0
11 Dec 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
304
1
0
24 Oct 2023
Subspace Identification for Multi-Source Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2023
Zijian Li
Ruichu Cai
Guan-Hong Chen
Boyang Sun
Zijian Li
Kun Zhang
281
54
0
07 Oct 2023
Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions
Jie Zhao
Ziyu Guan
Ziyu Guan
Yue Jiang
Xiaofei He
283
4
0
29 Sep 2023
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
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Peifeng Ma
Li Chen
Chang Yu
Qinggaozi Zhu
Yuling Ding
165
10
0
23 Aug 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
International Conference on Machine Learning (ICML), 2023
Ruijiang Dong
Yifan Zhang
Haoang Chi
Tongliang Liu
Biwei Huang
Gang Niu
Masashi Sugiyama
Bo Han
309
6
0
12 Jul 2023
Out-of-Variable Generalization for Discriminative Models
Siyuan Guo
J. Wildberger
Bernhard Schölkopf
OOD
CML
329
4
0
16 Apr 2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
IEEE International Conference on Computer Vision (ICCV), 2023
Yuecong Xu
Jianfei Yang
Yunjiao Zhou
Zhenghua Chen
Ruibing Jin
Xiaoli Li
213
8
0
18 Mar 2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Wenjian Wang
Lijuan Duan
Yuxi Wang
Junsong Fan
Zhi Gong
Zhaoxiang Zhang
255
7
0
16 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Tianpeng Liu
644
32
0
15 Mar 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
International Conference on Machine Learning (ICML), 2023
Shayan Shirahmad Gale Bagi
Zahra Gharaee
Oliver Schulte
Mark Crowley
OODD
OOD
326
18
0
17 Feb 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ibrahim Alabdulmohsin
Nicole Chiou
Alexander DÁmour
Arthur Gretton
Sanmi Koyejo
Matt J. Kusner
Stephen Pfohl
Olawale Salaudeen
Jessica Schrouff
Katherine Tsai
313
14
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21 Dec 2022
Causal Inference via Style Transfer for Out-of-distribution Generalisation
Knowledge Discovery and Data Mining (KDD), 2022
Toan Nguyen
Kien Do
D. Nguyen
Bao Duong
T. Nguyen
CML
OODD
OOD
311
17
0
06 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
175
26
0
29 Nov 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
M. Gauch
M. Beck
Thomas Adler
D. Kotsur
Stefan Fiel
...
Markus Holzleitner
Werner Zellinger
D. Klotz
Sepp Hochreiter
Sebastian Lehner
214
11
0
07 Jun 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
International Conference on Machine Learning (ICML), 2022
Haiteng Zhao
Chang Ma
Xinshuai Dong
Anh Tuan Luu
Zhi-Hong Deng
Hanwang Zhang
AAML
393
42
0
24 May 2022
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
317
13
0
22 May 2022
Universal approximation property of invertible neural networks
Journal of machine learning research (JMLR), 2022
Isao Ishikawa
Takeshi Teshima
Koichi Tojo
Kenta Oono
Masahiro Ikeda
Masashi Sugiyama
291
39
0
15 Apr 2022
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
European Conference on Computer Vision (ECCV), 2022
Hsin-Ping Huang
Deqing Sun
Yaojie Liu
Wen-Sheng Chu
Taihong Xiao
Jinwei Yuan
Hartwig Adam
Ming-Hsuan Yang
CVBM
372
81
0
23 Mar 2022
Rethinking Importance Weighting for Transfer Learning
Nan Lu
Tianyi Zhang
Tongtong Fang
Takeshi Teshima
Masashi Sugiyama
228
14
0
19 Dec 2021
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
Guoren Wang
325
145
0
02 Dec 2021
On the Statistical Benefits of Curriculum Learning
International Conference on Machine Learning (ICML), 2021
Ziping Xu
Ambuj Tewari
173
12
0
13 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
428
151
0
11 Nov 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
262
10
0
18 Oct 2021
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Hari Prasanna Das
Ryan Tran
Japjot Singh
Xiangyu Yue
G. Tison
Alberto L. Sangiovanni-Vincentelli
C. Spanos
OOD
MedIm
359
65
0
14 Sep 2021
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
European Conference on Computer Vision (ECCV), 2021
R. Gong
Martin Danelljan
Dengxin Dai
D. Paudel
Ajad Chhatkuli
Feng Yu
Luc Van Gool
245
9
0
10 Sep 2021
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
Srinagesh Sharma
Guoqing Zheng
Ahmed Hassan Awadallah
137
1
0
09 Sep 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
ACM Multimedia (ACM MM), 2021
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
158
12
0
06 Aug 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Neural Information Processing Systems (NeurIPS), 2021
Haoang Chi
Yifan Zhang
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
391
34
0
11 Jun 2021
CausalAdv: Adversarial Robustness through the Lens of Causality
Yonggang Zhang
Biwei Huang
Tongliang Liu
Gang Niu
Xinmei Tian
Bo Han
Bernhard Schölkopf
Kun Zhang
OOD
AAML
CML
167
43
0
11 Jun 2021
Adaptive Multi-Source Causal Inference
Thanh Vinh Vo
Pengfei Wei
T. Hoang
Tze-Yun Leong
252
1
0
31 May 2021
Zero-Shot Recommender Systems
Hao Ding
Yifei Ma
Hao Ding
Bernie Wang
Hao Wang
VLM
295
112
0
18 May 2021
Discrepancy-Based Active Learning for Domain Adaptation
International Conference on Learning Representations (ICLR), 2021
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
331
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0
05 Mar 2021
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Takeshi Teshima
Masashi Sugiyama
CML
474
17
0
27 Feb 2021
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge
Trent Kyono
Ioana Bica
Zhaozhi Qian
Mihaela van der Schaar
OOD
CML
502
7
0
11 Feb 2021
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Neural Information Processing Systems (NeurIPS), 2020
Zidi Xiu
Junya Chen
Ricardo Henao
B. Goldstein
Lawrence Carin
Chenyang Tao
235
11
0
25 Nov 2020
Learning causal representations for robust domain adaptation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
shuai Yang
Kui Yu
Fuyuan Cao
Lin Liu
Hongya Wang
Jiuyong Li
OOD
CML
TTA
268
59
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12 Nov 2020
Latent Causal Invariant Model
Xinwei Sun
Botong Wu
Xiangyu Zheng
Yu Xie
Wei Chen
Tao Qin
Tie-Yan Liu
OOD
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435
14
0
04 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Yu Xie
Xinwei Sun
Yongfeng Zhang
Haoyue Tang
Tao Li
Tao Qin
Wei Chen
Tie-Yan Liu
CML
OODD
OOD
709
123
0
03 Nov 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
Takeshi Teshima
Isao Ishikawa
Koichi Tojo
Kenta Oono
Masahiro Ikeda
Masashi Sugiyama
299
120
0
20 Jun 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
Neural Information Processing Systems (NeurIPS), 2020
Ilyes Khemakhem
R. Monti
Diederik P. Kingma
Aapo Hyvarinen
CML
445
138
0
26 Feb 2020
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