Tag: adversarial machine learning
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Task Rewards vs Distribution Sharpening in AI Models
Explore how task-reward-based learning outperforms distribution sharpening in AI, boosting model skills and stability for better performance.
HILBERT: Dual Contrastive Alignment for Audio-Text Learning
Discover HILBERT, a novel framework enhancing audio-text representations with dual contrastive alignment and balanced regularization for low-resource data.
Robust Conformal Prediction for LLMs Using Internal Data
Enhance LLM reliability with robust conformal prediction leveraging internal representations for better uncertainty quantification and cross-domain perform...
ChemGraph-XANES: Automated Framework for XANES Simulation
Discover ChemGraph-XANES, an automated framework for scalable XANES simulation, analysis, and spectral data curation using AI-driven workflows.
JumpLoRA: Sparse Adapters Boost Continual Learning in LLMs
Discover how JumpLoRA's sparse adapters enhance continual learning in large language models, preventing forgetting and improving AI performance.