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Grzegorz Stefański

Samsung

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#machine learning Preprint Sep 2026

Sub-Model Short-Term Memory Convolutions for Keyword Spotting Systems on Device

Keyword Spotting (KWS) is becoming increasingly important as voice-controlled devices grow more widespread. While voice interaction with smartphones and smart TVs is already common, deploying KWS on heavily resource-constrained edge devices such as wearables remains challenging. These systems must meet high accuracy re...

Paweł Warlewski, Artur Czeczko, Artur Szumaczuk et al. · 0 citations
Preprint Aug 2026

Training Crossroads for Recurrent Vision Transformers: Recurrence, Neural ODEs, and Deep Supervision

It is found that standard ViTs remain preferable when FLOPs are the primary constraint, whereas recurrent ViTs offer a better accuracy--parameter trade-off under memory constraints, whereas naive recurrence collapses to near-random performance.

Grzegorz Gruszczynski, P. Olszowiec, Michal Byra et al. · 1 citation

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