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distribution shift

985 papers

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Also known as

DS

Co-occurring keywords · papers mentioning both

domain adaptation (174) domain generalization (160) test-time adaptation (78) out-of-distribution detection (74) out-of-distribution generalization (65) representation learning (48) causal inference (47) transfer learning (39) offline reinforcement learning (37) graph neural network (36)

Papers

Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026 Codexa at SemEval-2026 Task 13: Loss Engineering and Diverse Ensemble Strategies for Multi-Class Code Authorship Attribution SemEval 2026 Collapse-Aware Regularization for Reliable Reasoning Under Distribution Shift UAI 2026 Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness CVPR 2026 Controllable Federated Prompt Learning at Test Time CVPR 2026 Cross-Architecture Adaptation: Cloud-Edge Continual Test-Time Adaptation with Dynamic Sampling and Heterogeneous Distillation CVPR 2026 CUETLuminaries0227 at SemEval-2026 Task 13: Invariance-Oriented Representation Learning for Robust AI-Generated Code Detection SemEval 2026 Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging CVPR 2026 Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment UAI 2026 Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study UAI 2026 Distribution-Aligned Multimodal Fusion for Robust Object Detection CVPR 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition CVPR 2026 Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering CVPR 2026 Efficient and Provable Algorithms for Covariate Shift ALT 2026 Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift COLT 2026 Evaluating Generative Models via One-Dimensional Code Distributions CVPR 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 FiMMIA: scaling semantic perturbation-based membership inference across modalities EACL 2026 FLOW: Optimal Transport-Driven Feature Warping for Generalized Remote Physiological Measurement CVPR 2026 FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation CVPR 2026 Generalizable Co-Salient Object Detection via Mixed Content-Style Modulation CVPR 2026 Generating In-Distribution Counterfactual Explanation for Graph Neural Networks AAAI 2026 Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation WACV 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026