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

OASIS: Online Sample Selection for Continual Instruction Tuning ACL 2026
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling ACL 2026
One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection WACV 2026
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026
Test Time Adaptation Using Adaptive Quantile Recalibration 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
AICD Bench: A Challenging Benchmark for AI-Generated Code Detection EACL 2026
FiMMIA: scaling semantic perturbation-based membership inference across modalities EACL 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
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026
Generating In-Distribution Counterfactual Explanation for Graph Neural Networks AAAI 2026
Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026
Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction AAAI 2026
LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts ACL 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging WACV 2025
EvoCL: Continual Learning over Evolving Domains WACV 2025
Activation Subspaces for Out-of-Distribution Detection ICCV 2025
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions ICCV 2025
Towards Trustworthy Machine Learning Under Distribution Shifts AAAI 2025
Progressive Test Time Energy Adaptation for Medical Image Segmentation ICCV 2025