conftrace_

distribution shift

722 papers

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Also known as

DS

Co-occurring keywords

domain adaptation (4595) domain generalization (1522) out-of-distribution detection (617) test-time adaptation (312) out-of-distribution generalization (408) causal inference (1630) representation learning (6206) transfer learning (5449) covariate shift (157) graph neural network (3962)

Papers

Generating In-Distribution Counterfactual Explanation for Graph Neural Networks AAAI 2026

Analysing Satellite Imagery Classification Under Spatial Domain Shift Across Geographic Regions (Abstract Reprint) AAAI 2026

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection EACL 2026

PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026

Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction AAAI 2026

Capacity Constraints Make Admissions Processes Less Predictable AAAI 2026

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation WACV 2026

Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026

Rethinking Explanation Evaluation Under the Retraining Scheme AAAI 2026

Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026

Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026

A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026

Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026

Test Time Adaptation Using Adaptive Quantile Recalibration WACV 2026

High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026

Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error WACV 2026

Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance WACV 2026

FiMMIA: scaling semantic perturbation-based membership inference across modalities EACL 2026

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026

A Theoretical Analysis of Detecting Large Model-Generated Time Series AAAI 2026

Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations AAAI 2026