Tag: contrastive learning
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K-SENSE: AI Model for Mental Health Detection on Social Media
Discover K-SENSE, an AI framework improving mental health detection on social media with knowledge-guided encoding and contrastive learning techniques.
Feature Attribution Benefits in Supervised Contrastive Learning
Explore how supervised contrastive learning improves feature attribution for better model interpretability, robustness, and trustworthiness in AI systems.
CGC: Enhancing Fine-Grained Multi-Image Understanding
Discover how CGC improves fine-grained multi-image understanding in MLLMs using contrastive learning and spatial rewards for better AI accuracy.
Training-Free Test-Time Contrastive Learning for LLMs
Boost large language models' reasoning with training-free test-time contrastive learning, improving performance without extra training or heavy computation...
Human-Centric Topic Modeling with Goal-Prompted Learning
Discover Human-Centric Topic Modeling using goal-prompted contrastive learning and optimal transport for more relevant and interpretable topics.