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domain adaptation

4595 papers

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DA

Co-occurring keywords

transfer learning (5449) unsupervised learning (3264) large language model (13587) semantic segmentation (3186) domain generalization (1522) representation learning (6206) neural machine translation (2310) adversarial learning (1595) text classification (6793) knowledge distillation (3725)

Papers

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment NIPS 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning AAAI 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition AAAI 2024
UniCell: Universal Cell Nucleus Classification via Prompt Learning AAAI 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024
Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
Data-Free Generalized Zero-Shot Learning AAAI 2024
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances AISTATS 2024
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024
Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024
Pixel Matching Network for Cross-Domain Few-Shot Segmentation WACV 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024
LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP COLING 2024
Generate then Refine: Data Augmentation for Zero-shot Intent Detection EMNLP 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024
Revisiting Few-Shot Object Detection with Vision-Language Models NIPS 2024
Domain-Controlled Prompt Learning AAAI 2024