Tag: domain adaptation
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Deep Learning for Brain Metastases Segmentation Across Sites
Enhance brain metastases segmentation with VAE-MMD deep learning, improving accuracy and generalization across multiple institutions without target labels.
Dual-branch Graph Domain Adaptation for Emotion Recognition
Improve cross-scenario multimodal emotion recognition with dual-branch graph domain adaptation, enhancing accuracy across varied conversational contexts.
Uni-DAD: Fast Few-Shot Image Generation with Diffusion Models
Uni-DAD unifies distillation and adaptation in diffusion models for rapid, high-quality few-shot image generation with improved diversity and stability.
Boost LLMs with 4 Tokens: Synergistic Test-time Adaptation
Enhance large language models with SyTTA using only 4 extra tokens for real-time domain adaptation without labeled data or retraining.
Bayesian Latent Transport for Domain-Adaptive AI Models
Discover Bayesian latent transport for domain-adaptive models, enhancing AI reliability and reducing distribution mismatch in foundation models.