On Learning Invariant Representation for Domain Adaptation

27 January 2019

H. Zhao

Rémi Tachet des Combes

Papers citing "On Learning Invariant Representation for Domain Adaptation"

36 / 36 papers shown

Title
Elastic Information Bottleneck Yuyan Ni Yanyan Lan Ao Liu Zhiming Ma 22 2 0 07 Nov 2023
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 31 1 0 21 Oct 2023
Novelty Detection in Reinforcement Learning with World Models Geigh Zollicoffer Kenneth Eaton Jonathan C. Balloch Julia Kim Mark O. Riedl Robert Wright Mark O. Riedl 23 1 0 12 Oct 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Wenwen Qiang Changwen Zheng 22 2 0 21 Aug 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 21 1 0 15 Mar 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 29 50 0 13 Feb 2023
Subtype-Aware Dynamic Unsupervised Domain Adaptation Xiaofeng Liu Fangxu Xing Jane You Jun Lu C.-C. Jay Kuo G. El Fakhri Jonghye Woo OOD 39 6 0 16 Aug 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 33 7 0 29 Dec 2021
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 26 35 0 07 Dec 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
On the inductive biases of deep domain adaptation Rodrigue Siry Louis Hémadou Loïc Simon F. Jurie 24 3 0 16 Sep 2021
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 15 60 0 21 Jun 2021
Information-theoretic regularization for Multi-source Domain Adaptation Geon Yeong Park Sang Wan Lee TTA 21 25 0 04 Apr 2021
Limitations of Post-Hoc Feature Alignment for Robustness Collin Burns Jacob Steinhardt OOD 14 22 0 10 Mar 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 23 54 0 30 Dec 2020
Self-Supervised Real-to-Sim Scene Generation Aayush Prakash Shoubhik Debnath Jean-Francois Lafleche Eric Cameracci Gavriel State Stan Birchfield M. Law 27 26 0 30 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 29 104 0 03 Nov 2020
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective Kartik Ahuja Jun Wang Amit Dhurandhar Karthikeyan Shanmugam Kush R. Varshney OOD 27 79 0 30 Oct 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 31 38 0 29 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 30 27 0 19 Oct 2020
On Learning Language-Invariant Representations for Universal Machine Translation Hao Zhao Junjie Hu Andrej Risteski 29 8 0 11 Aug 2020
Adversarial Bipartite Graph Learning for Video Domain Adaptation Yadan Luo Zi Huang Zijian Wang Zheng-Wei Zhang Mahsa Baktashmotlagh 22 51 0 31 Jul 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 35 22 0 30 Jul 2020
Continuously Indexed Domain Adaptation Hao Wang Hao He Dina Katabi MedIm 4 115 0 03 Jul 2020
Rethinking Distributional Matching Based Domain Adaptation Bo-wen Li Yezhen Wang Tong Che Shanghang Zhang Sicheng Zhao Pengfei Xu Wei Zhou Yoshua Bengio Kurt Keutzer OOD 14 59 0 23 Jun 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering Hui Tang Ke Chen K. Jia CML OOD 11 269 0 19 Mar 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Rémi Tachet des Combes Han Zhao Yu-Xiang Wang Geoffrey J. Gordon OOD AAML VLM 28 183 0 10 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 28 226 0 26 Feb 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 14 242 0 11 Feb 2020
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck Yuxuan Song Lantao Yu Zhangjie Cao Zhiming Zhou Jian Shen Shuo Shao Weinan Zhang Yong Yu 28 17 0 21 Nov 2019
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning Fuxun Yu Di Wang Yinpeng Chen Nikolaos Karianakis Tong Shen Pei Yu Dimitrios Lymberopoulos Sidi Lu Weisong Shi Xiang Chen 22 33 0 17 Nov 2019
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses Zhiqiang Shen Harsh Maheshwari Weichen Yao Marios Savvides ObjD 21 93 0 06 Nov 2019
The Role of Embedding Complexity in Domain-invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka 16 1 0 13 Oct 2019
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions Matthew Faw Rajat Sen Karthikeyan Shanmugam C. Caramanis Sanjay Shakkottai 28 3 0 23 Jul 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009