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

Dual-Personalizing Adapter for Federated Foundation Models NIPS 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation AAAI 2024
Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization AAAI 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NIPS 2024
How Far Is Too Far? Studying the Effects of Domain Discrepancy on Masked Language Models COLING 2024
Do VSR Models Generalize Beyond LRS3? WACV 2024
WATT: Weight Average Test Time Adaptation of CLIP NIPS 2024
Symmetric Self-Paced Learning for Domain Generalization AAAI 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024
Modality Translation Learning for Joint Speech-Text Model INTERSPEECH 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024
Self-Train Before You Transcribe INTERSPEECH 2024
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation CVPR 2024
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024
More is Better: Deep Domain Adaptation with Multiple Sources IJCAI 2024
Rethinking Multi-domain Generalization with A General Learning Objective CVPR 2024
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition INTERSPEECH 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024
Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024
What How and When Should Object Detectors Update in Continually Changing Test Domains? CVPR 2024