conftrace_
← Keywords

domain adaptation

4578 papers

Explore in graph

Also known as

DANN UNIDA UDA DA DAPT

Co-occurring keywords

transfer learning (5442) unsupervised learning (3255) large language model (12755) semantic segmentation (3179) domain generalization (1517) representation learning (6174) neural machine translation (2310) adversarial learning (1592) text classification (6776) knowledge distillation (3680)

Papers

Train/Test-Time Adaptation With Retrieval CVPR 2023
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment CVPR 2023
Unpaired Image-to-Image Translation With Shortest Path Regularization CVPR 2023
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains CVPR 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023
Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains CVPR 2023
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation CVPR 2023
Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification EMNLP 2023
Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks EMNLP 2023
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications EMNLP 2023
Debiasing Multimodal Models via Causal Information Minimization EMNLP 2023
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting EMNLP 2023
Investigating the Effectiveness of Multiple Expert Models Collaboration EMNLP 2023
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling EMNLP 2023
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty EMNLP 2023
Transfer Learning with Affine Model Transformation NIPS 2023
Transportability for Bandits with Data from Different Environments NIPS 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models NIPS 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NIPS 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm NIPS 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation NIPS 2023
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram NIPS 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NIPS 2023
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation NIPS 2023