Tailwind introduces ALPs and ML-based planning to integrate workload-specific query accelerators into standard RDBMSes, achieving 1.38x average (up to 29x) speedup on TPC-H queries.
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Multimodal training with attention and contrastive multi-view learning improves both combined and acoustic-only emotion recognition on IEMOCAP over prior acoustic baselines.
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Tailwind: A Practical Framework for Query Accelerators
Tailwind introduces ALPs and ML-based planning to integrate workload-specific query accelerators into standard RDBMSes, achieving 1.38x average (up to 29x) speedup on TPC-H queries.
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Multimodal and Multi-view Models for Emotion Recognition
Multimodal training with attention and contrastive multi-view learning improves both combined and acoustic-only emotion recognition on IEMOCAP over prior acoustic baselines.