Un-mixing Test-time Adaptation under Heterogeneous Data Streams
Fuente:
arXiv
Saved in:
| Main Authors: | Su, Zixian, Guo, Jingwei, Yang, Xi, Wang, Qiufeng, Huang, Kaizhu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unraveling Batch Normalization for Realistic Test-Time Adaptation
by: Su, Zixian, et al.
Published: (2023)
by: Su, Zixian, et al.
Published: (2023)
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
by: Guo, Jingwei, et al.
Published: (2024)
by: Guo, Jingwei, et al.
Published: (2024)
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
by: Tan, Zhaorui, et al.
Published: (2024)
by: Tan, Zhaorui, et al.
Published: (2024)
Navigating Distribution Shifts in Medical Image Analysis: A Survey
by: Su, Zixian, et al.
Published: (2024)
by: Su, Zixian, et al.
Published: (2024)
Attention Saturation and Gradient Suppression at Inflection Layers: Diagnosing and Mitigating Bottlenecks in Transformer Adaptation
by: Zixian, Wang
Published: (2025)
by: Zixian, Wang
Published: (2025)
Fully Test-time Adaptation for Tabular Data
by: Zhou, Zhi, et al.
Published: (2024)
by: Zhou, Zhi, et al.
Published: (2024)
IDEA: Image Description Enhanced CLIP-Adapter
by: Ye, Zhipeng, et al.
Published: (2025)
by: Ye, Zhipeng, et al.
Published: (2025)
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
by: Ye, Jianan, et al.
Published: (2024)
by: Ye, Jianan, et al.
Published: (2024)
Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
by: Guo, Ping, et al.
Published: (2021)
by: Guo, Ping, et al.
Published: (2021)
Rethinking Multi-domain Generalization with A General Learning Objective
by: Tan, Zhaorui, et al.
Published: (2024)
by: Tan, Zhaorui, et al.
Published: (2024)
Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
ADPO: Anchored Direct Preference Optimization
by: Zixian, Wang
Published: (2025)
by: Zixian, Wang
Published: (2025)
Group Orthogonalized Policy Optimization:Group Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
APO: Alpha-Divergence Preference Optimization
by: Zixian, Wang
Published: (2025)
by: Zixian, Wang
Published: (2025)
Contrastive Residual Energy Test-time Adaptation
by: Han, Yewon, et al.
Published: (2025)
by: Han, Yewon, et al.
Published: (2025)
FedCCA: Client-Centric Adaptation against Data Heterogeneity in Federated Learning on IoT Devices
by: Wang, Kaile, et al.
Published: (2026)
by: Wang, Kaile, et al.
Published: (2026)
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions
by: Sun, Han, et al.
Published: (2024)
by: Sun, Han, et al.
Published: (2024)
Test-time Adaptation for Regression by Subspace Alignment
by: Adachi, Kazuki, et al.
Published: (2024)
by: Adachi, Kazuki, et al.
Published: (2024)
Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)
by: McGovern, Ronan Killian
Published: (2025)
Learning from Streaming Data when Users Choose
by: Su, Jinyan, et al.
Published: (2024)
by: Su, Jinyan, et al.
Published: (2024)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
by: Zhou, Zhi, et al.
Published: (2026)
by: Zhou, Zhi, et al.
Published: (2026)
DIB-OD: Preserving the Invariant Core for Robust Heterogeneous Graph Adaptation via Decoupled Information Bottleneck and Online Distillation
by: Yan, Yang, et al.
Published: (2026)
by: Yan, Yang, et al.
Published: (2026)
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
by: Peng, Zihao, et al.
Published: (2025)
by: Peng, Zihao, et al.
Published: (2025)
Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
by: Fang, Zihan, et al.
Published: (2026)
by: Fang, Zihan, et al.
Published: (2026)
Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity
by: Roy, Ayush, et al.
Published: (2026)
by: Roy, Ayush, et al.
Published: (2026)
Generalized Incremental Learning under Concept Drift across Evolving Data Streams
by: Yu, En, et al.
Published: (2025)
by: Yu, En, et al.
Published: (2025)
A generalizable framework for low-rank tensor completion with numerical priors
by: Yuan, Shiran, et al.
Published: (2023)
by: Yuan, Shiran, et al.
Published: (2023)
You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs
by: Xu, Yijie, et al.
Published: (2025)
by: Xu, Yijie, et al.
Published: (2025)
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024)
by: Kim, Changhun, et al.
Published: (2024)
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
by: Kim, HyunGi, et al.
Published: (2025)
by: Kim, HyunGi, et al.
Published: (2025)
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning
by: Liu, Shirong, et al.
Published: (2024)
by: Liu, Shirong, et al.
Published: (2024)
SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data
by: Liu, Dianyu, et al.
Published: (2026)
by: Liu, Dianyu, et al.
Published: (2026)
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
by: Chen, Xiaolu, et al.
Published: (2025)
by: Chen, Xiaolu, et al.
Published: (2025)
Test-time Correlation Alignment
by: You, Linjing, et al.
Published: (2025)
by: You, Linjing, et al.
Published: (2025)
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
by: Chaves, Anderson, et al.
Published: (2024)
by: Chaves, Anderson, et al.
Published: (2024)
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation
by: Gong, Peiliang, et al.
Published: (2025)
by: Gong, Peiliang, et al.
Published: (2025)
Autonomous Drift Learning in Data Streams: A Unified Perspective
by: Yang, Xiaoyu, et al.
Published: (2026)
by: Yang, Xiaoyu, et al.
Published: (2026)
Test-Time Adaptation with Binary Feedback
by: Lee, Taeckyung, et al.
Published: (2025)
by: Lee, Taeckyung, et al.
Published: (2025)
Monitoring Risks in Test-Time Adaptation
by: Schirmer, Mona, et al.
Published: (2025)
by: Schirmer, Mona, et al.
Published: (2025)
Similar Items
-
Unraveling Batch Normalization for Realistic Test-Time Adaptation
by: Su, Zixian, et al.
Published: (2023) -
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
by: Guo, Jingwei, et al.
Published: (2024) -
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
by: Tan, Zhaorui, et al.
Published: (2024) -
Navigating Distribution Shifts in Medical Image Analysis: A Survey
by: Su, Zixian, et al.
Published: (2024) -
Attention Saturation and Gradient Suppression at Inflection Layers: Diagnosing and Mitigating Bottlenecks in Transformer Adaptation
by: Zixian, Wang
Published: (2025)