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domain adaptation

4,758 papers

DA

Papers

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models ACL 2024 Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization EMNLP 2024 KpopMT: Translation Dataset with Terminology for Kpop Fandom ACL 2024 L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models EMNLP 2024 Label Alignment Regularization for Distribution Shift JMLR 2024 Label-Free Synthetic Pretraining of Object Detectors WACV 2024 Label Noise: Ignorance Is Bliss NeurIPS 2024 Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks EMNLP 2024 Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior ICLR 2024 Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning EMNLP 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning and deploying robust locomotion policies with minimal dynamics randomization L4DC 2024 Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation CVPR 2024 Learning Conditional Invariances through Non-Commutativity ICLR 2024 Learning De-Biased Representations for Remote-Sensing Imagery NeurIPS 2024 Learning Image Demoiréing from Unpaired Real Data AAAI 2024 Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024 Learning model uncertainty as variance-minimizing instance weights ICLR 2024 Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain COLING 2024 Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains EMNLP 2024 Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation ACL 2024