Support and Invertibility in Domain-Invariant Representations

8 March 2019

Papers citing "Support and Invertibility in Domain-Invariant Representations"

50 / 58 papers shown

Title
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 29 0 0 10 May 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift A. Nguyen Lam C. Tran Anh Tong Tuan-Duy H. Nguyen Toan M. Tran 48 1 0 31 Dec 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 46 1 0 12 Oct 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 42 2 0 01 Mar 2024
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 31 1 0 21 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 73 2 0 16 Oct 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 29 10 0 08 Sep 2023
Addressing distributional shifts in operations management: The case of order fulfillment in customized production J. Senoner Bernhard Kratzwald Milan Kuzmanovic Torbjørn H. Netland Stefan Feuerriegel OOD 48 4 0 24 Apr 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 23 1 0 15 Mar 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour Arthur Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 68 9 0 21 Dec 2022
Domain-invariant Feature Exploration for Domain Generalization Wang Lu Jindong Wang Haoliang Li Yiqiang Chen Xing Xie OOD 35 70 0 25 Jul 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 56 9 0 12 Jul 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 37 52 0 16 Jun 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur Emre Kıcıman Amit Sharma UQCV OOD 30 25 0 15 Jun 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 21 11 0 18 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization Sofien Dhouib S. Maghsudi 45 2 0 09 Mar 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 28 68 0 31 Dec 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 30 30 0 26 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 57 102 0 22 Oct 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 34 126 0 18 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 35 14 0 11 Oct 2021
On the inductive biases of deep domain adaptation Rodrigue Siry Louis Hémadou Loïc Simon F. Jurie 32 3 0 16 Sep 2021
Task Guided Compositional Representation Learning for ZDA Shuang Liu Mete Ozay OOD 25 0 0 13 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 82 0 08 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 47 205 0 07 Sep 2021
Partial Domain Adaptation without Domain Alignment Weikai Li Songcan Chen 37 13 0 29 Aug 2021
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan OOD 24 40 0 09 Jul 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm AAML 30 22 0 08 Jul 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip Torr A. G. Baydin OOD 36 39 0 14 Jun 2021
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 34 106 0 11 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 46 18 0 07 Jun 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles Ling Boyu Wang 41 29 0 09 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 49 228 0 30 Apr 2021
Limitations of Post-Hoc Feature Alignment for Robustness Collin Burns Jacob Steinhardt OOD 16 23 0 10 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 40 174 0 05 Mar 2021
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 56 1,177 0 02 Mar 2021
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 31 14 0 04 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 35 104 0 03 Nov 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 36 38 0 29 Oct 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Bo-wen Li Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli S. Seshia Kurt Keutzer 41 264 0 01 Sep 2020
On Localized Discrepancy for Domain Adaptation Yuchen Zhang Mingsheng Long Jianmin Wang Michael I. Jordan 23 18 0 14 Aug 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 38 22 0 30 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka OOD 6 60 0 06 Jul 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 34 240 0 19 Jun 2020
Optimal Transport for Conditional Domain Matching and Label Shift A. Rakotomamonjy Rémi Flamary Gilles Gasso Mokhtar Z. Alaya Maxime Bérar Nicolas Courty OOD OT 18 25 0 15 Jun 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 31 326 0 12 Jun 2020
Learning Decomposed Representation for Counterfactual Inference Anpeng Wu Kun Kuang Junkun Yuan Bo Li Jianrong Tao Qiang Zhu Yueting Zhuang Fei Wu CML 29 21 0 12 Jun 2020
Continuous Transfer Learning with Label-informed Distribution Alignment Jun Wu Jingrui He CLL 38 12 0 05 Jun 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 17 133 0 24 Apr 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 26 36 0 07 Apr 2020