Tag: adversarial machine learning
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Best Arm Identification in Generalized Linear Bandits Using Hybrid Feedback
Discover advanced methods for best arm identification in generalized linear bandits with hybrid feedback, improving efficiency and decision accuracy.
SDFlow: Efficient Time Series Generation Without Exposure Bias
Discover SDFlow, a novel method for time series generation that eliminates exposure bias and boosts efficiency with similarity-driven flow matching.
Optimizing LLM Agents: Avoid Cross-Component Interference
Discover how fewer, well-chosen components in LLM agents outperform all-in setups by reducing cross-component interference for better task results.
Saliency-Aware Quantization for Efficient Large Language Models
Discover SARQC, a saliency-aware quantization method that improves large language model efficiency without extra computational cost or performance loss.
GCCM: Boosting Generative Graph Prediction Accuracy
Discover how GCCM improves generative graph prediction using contrastive consistency to enhance accuracy and stability in AI models.