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domain adaptation

4,758 papers

DA

Papers

Efficient Vision-Language pre-training via domain-specific learning for human activities EMNLP 2024 ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation IJCAI 2024 ELiRF-VRAIN at BioLaySumm: Boosting Lay Summarization Systems Performance with Ranking Models ACL 2024 EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography NeurIPS 2024 Empowering and Assessing the Utility of Large Language Models in Crop Science NeurIPS 2024 Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings COLING 2024 EMR-Merging: Tuning-Free High-Performance Model Merging NeurIPS 2024 End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning NeurIPS 2024 Enhancing Domain Adaptation through Prompt Gradient Alignment NeurIPS 2024 Enhancing Legal Expertise in Large Language Models through Composite Model Integration: The Development and Evaluation of Law-Neo EMNLP 2024 Enhancing Neural Machine Translation for Ainu-Japanese: A Comprehensive Study on the Impact of Domain and Dialect Integration EMNLP 2024 Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain CVPR 2024 Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting ICLR 2024 Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design Interspeech 2024 ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments EMNLP 2024 Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains EACL 2024 EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition CVPR 2024 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning WACV 2024 Exploiting Diffusion Prior for Generalizable Dense Prediction CVPR 2024 Exploiting Target Language Data for Neural Machine Translation Beyond Back Translation ACL 2024 Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024 Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models AAAI 2024 Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes NAACL 2024 Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024