A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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Portal introduces content-specific tokenization for tabular data, enabling scalable self-supervised learning that outperforms prior methods on diverse benchmarks.
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This paper introduces Fast, an efficient action tokenization method for vision-language-action models, aiming to improve the speed and practicality of generalist robot policies.
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This survey provides a comprehensive review of vision-language-action models from the perspective of action tokenization, categorizing methods and discussing challenges and future directions.