conftrace_

domain shift

318 papers

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Co-occurring keywords

domain adaptation (4595) domain generalization (1522) test-time adaptation (312) unsupervised domain adaptation (442) transfer learning (5449) object detection (2762) zero-shot learning (3650) representation learning (6206) contrastive learning (4032) semantic segmentation (3186)

Papers

SAME: Signer-Aware Mixture-of-Experts for Test-Time Adaptation in Sign Language Translation ACL 2026

Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving AAAI 2026

TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation AAAI 2026

Experience with Single Domain Generalization in Real World Medical Imaging Deployments AAAI 2026

Quantifying and Mitigating Hospital Domain Bias in Pathology Foundation Models using Adversarial Feature Disentanglement MIDL 2026

CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026

Optimizing against Infeasible Inclusions from Data for Semantic Segmentation through Morphology WACV 2026

Beyond Tokens: Concept-Level Training Objectives for LLMs EACL 2026

Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026

Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection AAAI 2026

LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays MIDL 2026

AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics MIDL 2026

The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge MIDL 2026

DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations MIDL 2026

Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning WACV 2026

CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026

NAPP: Noise-Adaptive Prototype Perturbation for Few-Shot Learning WACV 2026

Model-free Domain Adaptation for Concealed Multimodal Large-Language Models WACV 2026

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning AAAI 2026

Prototype-Driven Active Domain Adaptation with Density Consideration AAAI 2026

Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026

Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities ACL 2025

Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025

Progressive Distribution Bridging: Unsupervised Adaptation for Large-scale Pre-trained Models via Adaptive Auxiliary Data ICCV 2025

Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging ICCV 2025