Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2007.01807
Cited By
v1
v2 (latest)
Continuously Indexed Domain Adaptation
3 July 2020
Hao Wang
Hao He
Dina Katabi
MedIm
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Continuously Indexed Domain Adaptation"
50 / 75 papers shown
Learning Robust Spectral Dynamics for Temporal Domain Generalization
En Yu
Jie Lu
Xiaoyu Yang
G. Zhang
Zhen Fang
OOD
267
14
0
19 May 2025
Continuous Domain Generalization
Zekun Cai
Yiheng Yao
Guangji Bai
Renhe Jiang
Xuan Song
Ryosuke Shibasaki
Liang Zhao
OOD
627
1
0
17 May 2025
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Alexander Koebler
Thomas Decker
Ingo Thon
Volker Tresp
Florian Buettner
315
0
0
11 May 2025
Concept-Based Unsupervised Domain Adaptation
Xinyue Xu
Yitao Hu
Hui Tang
Yi Qin
Lu Mi
Hao Wang
Xiaomeng Li
344
1
0
08 May 2025
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work
Kevin Wilkinghoff
Takuya Fujimura
Keisuke Imoto
Jonathan Le Roux
Zheng-Hua Tan
Tomoki Toda
482
6
0
13 Mar 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
International Conference on Learning Representations (ICLR), 2024
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xuelong Li
854
31
0
03 Jan 2025
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
355
0
0
01 Dec 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Neural Information Processing Systems (NeurIPS), 2024
Kai Helli
David Schnurr
Noah Hollmann
Samuel G. Müller
Katharina Eggensperger
OOD
412
24
0
15 Nov 2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation
International Conference on Learning Representations (ICLR), 2024
Hongfu Liu
Hengguan Huang
Hao Wang
Xiangming Gu
Ye Wang
540
17
0
14 Oct 2024
Seamless Website Fingerprinting in Multiple Environments
Chuxu Song
Zining Fan
Hao Wang
Richard Martin
321
2
0
28 Jul 2024
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
Chaoqun Hou
Yuanhang Zhou
Yi Cao
Tong Liu
272
6
0
02 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
416
1
0
01 Jul 2024
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
496
1
0
13 Jun 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
Yongxin Guo
Lin Wang
Xiaoying Tang
Tao Lin
FedML
OOD
430
0
0
25 May 2024
Continuous Temporal Domain Generalization
Zekun Cai
Guangji Bai
Renhe Jiang
Xuan Song
Bo Pan
279
16
0
25 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
376
4
0
10 May 2024
Generalizing across Temporal Domains with Koopman Operators
Qiuhao Zeng
Wei Wang
Fan Zhou
Gezheng Xu
Ruizhi Pu
Changjian Shui
Christian Gagné
Shichun Yang
Boyu Wang
Charles Ling
OOD
AI4CE
255
15
0
12 Feb 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid
Milan Kuzmanovic
Dennis Frauen
Tobias Hatt
Stefan Feuerriegel
464
14
0
30 Jan 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
Amirreza Kazemi
Martin Ester
CML
OOD
265
6
0
17 Dec 2023
Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning
Wei Huang
Aichun Zhu
Hui Liu
141
0
0
17 Nov 2023
Evolving Domain Adaptation of Pretrained Language Models for Text Classification
Yun-Shiuan Chuang
Yi Wu
Dhruv Gupta
Rheeya Uppaal
Ananya Kumar
Luhang Sun
Makesh Narsimhan Sreedhar
Sijia Yang
Timothy T. Rogers
Junjie Hu
VLM
238
10
0
16 Nov 2023
Pre-trained Recommender Systems: A Causal Debiasing Perspective
Web Search and Data Mining (WSDM), 2023
Ziqian Lin
Hao Ding
Nghia Hoang
Branislav Kveton
Hao Ding
Hao Wang
CML
630
6
0
30 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
516
25
0
20 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Neural Information Processing Systems (NeurIPS), 2023
Haizhou Shi
Hao Wang
CLL
342
45
0
18 Oct 2023
Continuous Invariance Learning
International Conference on Learning Representations (ICLR), 2023
Yong Lin
Fan Zhou
Lu Tan
Lintao Ma
Jiameng Liu
...
Yuan Yuan
Yu Liu
James Y. Zhang
Yujiu Yang
Hao Wang
CLL
OOD
287
8
0
09 Oct 2023
Prompting-based Temporal Domain Generalization
Sepidehsadat Hosseini
Mengyao Zhai
Hossein Hajimirsadegh
Frederick Tung
AI4TS
AI4CE
OOD
310
0
0
03 Oct 2023
CODA: Temporal Domain Generalization via Concept Drift Simulator
Knowledge Discovery and Data Mining (KDD), 2023
Chia-Yuan Chang
Yu-Neng Chuang
Zhimeng Jiang
Kwei-Herng Lai
Anxiao Jiang
Na Zou
OOD
256
6
0
02 Oct 2023
Meta OOD Learning for Continuously Adaptive OOD Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Xinheng Wu
Jie Lu
Zhen Fang
Guangquan Zhang
OODD
325
15
0
21 Sep 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
377
34
0
04 Aug 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Knowledge Discovery and Data Mining (KDD), 2023
Song Jiang
Zijie Huang
Xiao Luo
Luke Huan
CML
283
25
0
20 Jun 2023
Taxonomy-Structured Domain Adaptation
International Conference on Machine Learning (ICML), 2023
Tianyi Liu
Zihao Xu
Hao He
Guang-Yuan Hao
Guang-He Lee
Hao Wang
TTA
OOD
370
10
0
13 Jun 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
International Conference on Machine Learning (ICML), 2023
Haohui Wang
Yuzhen Mao
Yujun Yan
Yaoqing Yang
Jianhui Sun
...
Si Zhang
Alison Hu
Edward Bowen
Tyler Cody
Dawei Zhou
580
8
0
01 May 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
International Conference on Machine Learning (ICML), 2023
Yi-Fan Zhang
Qingsong Wen
Kexin Jin
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OOD
388
74
0
25 Apr 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
International Conference on Learning Representations (ICLR), 2023
Zihao Xu
Guang-Yuan Hao
Hao He
Hao Wang
750
24
0
06 Feb 2023
Cross-Frequency Time Series Meta-Forecasting
Mike Van Ness
Huibin Shen
Hongya Wang
Xiaoyong Jin
Danielle C. Maddix
Karthick Gopalswamy
AI4TS
237
5
0
04 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
International Conference on Learning Representations (ICLR), 2023
Yifan Zhang
Qingsong Wen
Jian Liang
Zhang Zhang
Liangsheng Wang
Rong Jin
Tien-Ping Tan
345
59
0
01 Feb 2023
ManyDG: Many-domain Generalization for Healthcare Applications
International Conference on Learning Representations (ICLR), 2023
Chaoqi Yang
M. P. M. Brandon Westover
Jimeng Sun
OOD
CML
268
33
0
21 Jan 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
AAAI Conference on Artificial Intelligence (AAAI), 2023
Qiuhao Zeng
Wei Wang
Fan Zhou
Charles Ling
Boyu Wang
OOD
ViT
394
21
0
19 Jan 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
275
35
0
18 Oct 2022
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhizhong Huang
Junping Zhang
Hongming Shan
CVBM
216
44
0
17 Oct 2022
Deep Spatial Domain Generalization
Industrial Conference on Data Mining (IDM), 2022
Dazhou Yu
Guangji Bai
Yun Li
Bo Pan
OOD
273
6
0
03 Oct 2022
Out-of-Distribution Representation Learning for Time Series Classification
International Conference on Learning Representations (ICLR), 2022
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xingxu Xie
OODD
OOD
378
60
0
15 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning
International Conference on Learning Representations (ICLR), 2022
Aoxiao Zhong
Hao He
Tongzheng Ren
Na Li
Shijie Zhao
OOD
AI4CE
340
16
0
08 Sep 2022
Delving into the Continuous Domain Adaptation
ACM Multimedia (ACM MM), 2022
Yinsong Xu
Zhuqing Jiang
Aidong Men
Yang Liu
Qingchao Chen
196
6
0
28 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Yivan Zhang
Yongfeng Zhang
Xingxu Xie
Masashi Sugiyama
OOD
317
1
0
03 Aug 2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Jun Wu
Jingrui He
CLL
330
12
0
05 Jul 2022
Gradual Domain Adaptation via Normalizing Flows
Neural Computation (Neural Comput.), 2022
Shogo Sagawa
H. Hino
CLL
OOD
446
17
0
23 Jun 2022
Evolving Domain Generalization
Wei Wang
Gezheng Xu
Ruizhi Pu
Jiaqi Li
Fan Zhou
Changjian Shui
Charles Ling
Christian Gagné
Boyu Wang
OOD
376
5
0
31 May 2022
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
International Conference on Learning Representations (ICLR), 2022
Guangji Bai
Ling-Hao Chen
Bo Pan
OOD
AI4TS
AI4CE
357
41
0
21 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
International Conference on Machine Learning (ICML), 2022
Tiexin Qin
Shiqi Wang
Haoliang Li
CML
BDL
212
33
0
16 May 2022
1
2
Next
Page 1 of 2
