Tag: Stochastic Training
All the articles with the tag "Stochastic Training".
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Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems
This paper introduces Recursive INference Scaling (RINS), a method that recursively applies a model block to exploit language's self-similarity, achieving significant performance gains in language and multimodal tasks under compute-matched conditions while offering inference flexibility through stochastic training and linear adapters.