Tag: adversarial machine learning
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When AI Agents Should Use External Tools: Epistemic Necessity
Discover why AI agents must invoke external tools only when epistemically necessary to improve reasoning and efficiency in intelligent systems.
Efficient Distributional RL with Normalizing Flows & Cramér
Discover NFDRL: a parameter-efficient Distributional RL method using normalizing flows and geometry-aware Cramér surrogate for improved learning.
Flow Sampling: Efficient Sampling from Unnormalized Densities
Discover Flow Sampling, a novel framework improving sampling efficiency from unnormalized densities using denoising conditional processes and diffusion mod...
Robust AI-Text Detection with Feature-Augmented Transformers
Discover how feature-augmented transformers improve AI-text detection across domains, boosting accuracy and robustness against distribution shifts.
Open World Sound Event Detection: Next-Gen Audio AI
Discover how Open World Sound Event Detection enhances audio AI with adaptive learning, deformable transformers, and superior real-world performance.