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

DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation IJCAI 2025
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation ACL 2025
LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts ACL 2025
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging ICCV 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025
Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy WACV 2025
Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective NAACL 2025
Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation WACV 2025
Decoupled Imbalanced Label Distribution Learning IJCAI 2025
Processing and acquisition traces in visual encoders: What does CLIP know about your camera? ICCV 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts JMLR 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
EvoCL: Continual Learning over Evolving Domains WACV 2025
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts CVPR 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging WACV 2025