MacrOData supplies three large, curated benchmark suites totaling 2,446 datasets for tabular outlier detection, complete with standardized splits, metadata, and a public leaderboard.
In International conference on machine learning
3 Pith papers cite this work. Polarity classification is still indexing.
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DFAlign uses diffusion-based denoising to generate foreground knowledge prompts that improve cross-modal alignment for detecting unseen actions in untrimmed videos, reporting state-of-the-art results on OV-TAD benchmarks.
A new framework evaluates utility of synthetic mobility trajectories while a membership inference attack reveals privacy vulnerabilities in generative models thought to be safe.
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MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection
MacrOData supplies three large, curated benchmark suites totaling 2,446 datasets for tabular outlier detection, complete with standardized splits, metadata, and a public leaderboard.
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Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
DFAlign uses diffusion-based denoising to generate foreground knowledge prompts that improve cross-modal alignment for detecting unseen actions in untrimmed videos, reporting state-of-the-art results on OV-TAD benchmarks.
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A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities
A new framework evaluates utility of synthetic mobility trajectories while a membership inference attack reveals privacy vulnerabilities in generative models thought to be safe.