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domain adaptation

4,758 papers

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Also known as

DA

Co-occurring keywords · papers mentioning both

transfer learning (817) unsupervised learning (345) large language model (294) semantic segmentation (267) domain generalization (259) representation learning (252) adversarial learning (216) neural machine translation (215) few-shot learning (209) knowledge distillation (202)

Papers

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow ICLR 2024 Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data NAACL 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Fact Checking Beyond Training Set NAACL 2024 Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024 FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling ICLR 2024 FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models NeurIPS 2024 Fast Adaptation for Human Pose Estimation via Meta-Optimization CVPR 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 Fast One-Stage Unsupervised Domain Adaptive Person Search IJCAI 2024 Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NeurIPS 2024 FedST: Federated Style Transfer Learning for Non-IID Image Segmentation AAAI 2024 Feed-Forward Latent Domain Adaptation WACV 2024 Few-shot Hybrid Domain Adaptation of Image Generator ICLR 2024 Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains ACL 2024 Fine-Tuning is Fine, if Calibrated NeurIPS 2024 Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow EMNLP 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 Flexible Depth Completion for Sparse and Varying Point Densities CVPR 2024 FoSp: Focus and Separation Network for Early Smoke Segmentation AAAI 2024 FPGAN-Control: A Controllable Fingerprint Generator for Training With Synthetic Data WACV 2024 From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery AAAI 2024