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

Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning IJCAI 2025
Decoupled Imbalanced Label Distribution Learning IJCAI 2025
EvoCL: Continual Learning over Evolving Domains WACV 2025
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation IJCAI 2025
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025
Bridging the Gap for Test-Time Multimodal Sentiment Analysis AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging ICCV 2025
Activation Subspaces for Out-of-Distribution Detection ICCV 2025
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions ICCV 2025
Selective Uncertainty Propagation in Offline RL AAAI 2025
ColorizeDiffusion: Improving Reference-Based Sketch Colorization with Latent Diffusion Model WACV 2025
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025
Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy WACV 2025
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks AAAI 2025
Towards Trustworthy Machine Learning Under Distribution Shifts AAAI 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization WACV 2025
Progressive Test Time Energy Adaptation for Medical Image Segmentation ICCV 2025
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data IJCAI 2025