HPD v2 is the largest human preference dataset for text-to-image images with 798k choices, and HPS v2 is the resulting CLIP-based scorer that better predicts human judgments and responds to model improvements.
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A systematic literature review that maps metaheuristic algorithms to ML-based intrusion detection systems in IoT, with separate analysis of feature selection, parameter tuning, and hybrid applications plus a proposed taxonomy.
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Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
HPD v2 is the largest human preference dataset for text-to-image images with 798k choices, and HPS v2 is the resulting CLIP-based scorer that better predicts human judgments and responds to model improvements.
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A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
A systematic literature review that maps metaheuristic algorithms to ML-based intrusion detection systems in IoT, with separate analysis of feature selection, parameter tuning, and hybrid applications plus a proposed taxonomy.