conftrace_

distribution shift

985 papers

Explore in graph

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

High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026 ICI Innolabs at SemEval-2026 Task 13: Sliding Windows Meet Code Transformers SemEval 2026 Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings CVPR 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching UAI 2026 Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation CVPR 2026 Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance WACV 2026 Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement ACL 2026 MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration CVPR 2026 MINDS at SemEval-2026-Task 13: Robust Detection of Machine-Generated Code under Distribution Shift SemEval 2026 Mitigating The Distribution Shift of Diffusion-based Dataset Distillation CVPR 2026 MIUN BiasPatrol at SemEval-2026 Task 13: Why TF-IDF can Beat Transformers for OOD Code Detection SemEval 2026 Mixture of Prototypes for Test-time Adaptive Segmentation CVPR 2026 Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift UAI 2026 MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026 Multi-Modal Image Fusion via Intervention-Stable Feature Learning CVPR 2026 Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration 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 OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026 One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection WACV 2026 Partial Action Replacement: Tackling Distribution Shift in Offline MARL AAAI 2026 PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026 Predict, Prune, Play: Efficient Video Playback Optimization Under Device Diversity and Drift NSDI 2026