Tag: domain adaptation
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Geometry-Preserving Loss Boosts Blackbox GAN Adaptation
Discover how geometry-preserving loss functions enhance blackbox generative model adaptation, improving accuracy and enabling efficient domain-specific AI...
Improving Hierarchical Driving VQA with Cross-Stage Coherence
Explore cross-stage coherence in hierarchical driving VQA using explicit baselines and gated context projectors to boost autonomous driving AI accuracy.
Do Hallucination Neurons in LLMs Generalize Across Domains?
Explore how hallucination neurons in large language models perform across domains and why domain-specific calibration is crucial for AI accuracy.
CoDA: Enhancing Cross-Domain Knowledge Transfer in LLMs
Discover CoDA, a novel method improving cross-domain knowledge transfer in large language models via CoT-guided domain adaptation and feature distillation.
SSMamba: Advanced Self-Supervised Model for Pathology Images
Discover SSMamba, a self-supervised hybrid model that improves pathological image classification with enhanced local-global feature learning.