Tag: adversarial machine learning
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AdaMeZO: Memory-Efficient Adam-Style Optimizer for LLMs
Discover AdaMeZO, an Adam-style zeroth-order optimizer that fine-tunes large language models efficiently without storing moment estimates.
Multimodal Energy-Based Models with VAE and MCMC
Discover a novel framework combining multimodal VAEs and MCMC to enhance energy-based model learning and generate coherent multimodal data samples.
Ensuring Fairness of Classifiers with Feature Constraints
Explore how feature constraints impact classifier fairness and learn methods to ensure fair explanations in machine learning decisions.
Preventing Mode Collapse in LLMs with Geometric Regulation
Discover how geometric regulation and Reinforced Mode Regulation (RMR) help large language models avoid mode collapse for better text generation.
Unifying Decision Trees and Diffusion Models for AI
Discover how unifying decision trees with diffusion models boosts AI efficiency, interpretability, and performance in machine learning.