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state space models

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  1. 1

    VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

    VisionHOPE introduces a visual backbone that updates its own parameters on‑the‑fly using five coupled memories, with a stability‑matched step‑size scheme that keeps updates non‑expansive. The approach attains competitive ImageNet, COCO and ADE20K performance, showing self‑modifying learning systems can serve as practical general‑purpose vision models.

    Hugging Face Daily Papersarxiv.org1 minpaper
  2. 2

    Fractional State Space Transition for Long Sequence Modeling

    The paper introduces FRAC, a state‑space model that uses fractional dynamics to achieve power‑law long memory instead of exponential forgetting. Approximating the fractional kernel with a log‑spaced exponential sum yields an efficient recurrent module that improves long‑context performance in large language models.

    Hugging Face Daily Papersarxiv.org1 minpaper