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distribution shift

985 papers

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Papers

ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production ACL 2026 AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation CVPR 2026 Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models AAAI 2026 Addressing Polarization and Unfairness in Performative Prediction AAAI 2026 Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation CVPR 2026 A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026 AICD Bench: A Challenging Benchmark for AI-Generated Code Detection EACL 2026 AKCIT-UFG at SemEval-2026 Task 8: Structured Chunking and Optimized Query Reformulation for Efficient Multi-Turn Retrieval SemEval 2026 ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis UAI 2026 Analysing Satellite Imagery Classification Under Spatial Domain Shift Across Geographic Regions (Abstract Reprint) AAAI 2026 APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026 ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated Code SemEval 2026 A Theoretical Analysis of Detecting Large Model-Generated Time Series AAAI 2026 Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models UAI 2026 BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning CVPR 2026 Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift ALT 2026 BIT: Matching-based Bi-directional Interaction Transformation Network for Visible-Infrared Person Re-Identification CVPR 2026 Bridging Domain Expertise and Generalization for Performance Estimation CVPR 2026 Bridging Domains through Subspace-Aware Model Merging CVPR 2026 Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations AAAI 2026 Calibration-Aware Online Adaptation under Label Shift UAI 2026 CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026 Capacity Constraints Make Admissions Processes Less Predictable AAAI 2026 CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness CVPR 2026 CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026