Continuously Indexed Domain Adaptation

3 July 2020

Papers citing "Continuously Indexed Domain Adaptation"

26 / 26 papers shown

Title
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention Alexander Koebler Thomas Decker Ingo Thon Volker Tresp Florian Buettner 29 0 0 11 May 2025
Concept-Based Unsupervised Domain Adaptation Xinyue Xu Y. Hu Hui Tang Yi Qin Lu Mi Hao Wang Xiaomeng Li 50 0 0 08 May 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 74 9 0 03 Jan 2025
On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu Hengguan Huang Hao Wang Xiangming Gu Ye Wang 55 2 0 14 Oct 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang Hao Wang Hao Wang 50 0 0 13 Jun 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 51 1 0 10 May 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi Martin Ester CML OOD 35 3 0 17 Dec 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 52 5 0 20 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 34 18 0 18 Oct 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 35 18 0 06 Feb 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 38 24 0 18 Oct 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
Delving into the Continuous Domain Adaptation Yinsong Xu Zhuqing Jiang Aidong Men Yang Liu Qingchao Chen 21 4 0 28 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 42 1 0 03 Aug 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles X. Ling Christian Gagné Boyu Wang OOD 29 3 0 31 May 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel Ziyang Jiang Tongshu Zheng Yiling Liu David Carlson 30 4 0 15 May 2022
Domain Adaptation with Factorizable Joint Shift Hao He Yuzhe Yang Hao Wang TTA 18 5 0 06 Mar 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 24 29 0 02 Feb 2022
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction Jing-Yi Wang Ruoyi Du Dongliang Chang Kongming Liang Zhanyu Ma OOD 38 44 0 20 Jan 2022
Automatic Online Multi-Source Domain Adaptation Renchunzi Xie Mahardhika Pratama 11 15 0 05 Sep 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time Anshul Nasery Soumyadeep Thakur Vihari Piratla A. De Sunita Sarawagi AI4TS 19 25 0 15 Aug 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 54 1,170 0 02 Mar 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 32 259 0 18 Feb 2021
Transfer Adaptation Learning: A Decade Survey Lei Zhang Xinbo Gao OOD 45 183 0 12 Mar 2019