Distribution Shift

AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation CVPR 2026 Bridging Domain Expertise and Generalization for Performance Estimation CVPR 2026 CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection CVPR 2026 Collapse-Aware Regularization for Reliable Reasoning Under Distribution Shift UAI 2026 Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation CVPR 2026 Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging CVPR 2026 Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition CVPR 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 Mitigating The Distribution Shift of Diffusion-based Dataset Distillation CVPR 2026 Mixture of Prototypes for Test-time Adaptive Segmentation CVPR 2026 Neural Collapse in Test-Time Adaptation CVPR 2026 NUST CodeIntel at SemEval-2026 Task 13: Cross-Domain Detection of Machine-Generated Code via Stylometric Features and Transformer Models SemEval 2026 SemEval-2026 Task 13: Fine-tuned CodeBERT with Stratified Balancing, Dynamic Threshold Optimization, and Logit Bias Correction for Robust Multi-Language AI Code Detection SemEval 2026 Single-Round Scalable Analytic Federated Learning CVPR 2026 Team Duo at SemEval-2026 Task 13: Fine-tuning CodeBERT for Out-of-Distribution AI-Generated Code Detection SemEval 2026 Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code Detection SemEval 2026 The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation CVPR 2026 The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge MIDL 2026 VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution CVPR 2026 YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction CVPR 2026 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach AISTATS 2025 Bridging Domains with Approximately Shared Features AISTATS 2025 Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem AISTATS 2025 Out-of-distribution robustness for multivariate analysis via causal regularisation AISTATS 2025