29 citations · 43 across the 9 of their papers we have counts for
3 papers · 1 filter
ProgResViT: Progressive Resolution and Width for Adaptive Vision Transformers
Ali Hojjat, Janek Haberer, Olaf Landsiedel
Vision Transformers (ViTs) typically process every image using a fixed input resolution and model width, even though many images can be classified with substantially less computati…
Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing
Stefan Fischer, Nihat Ay, Olaf Landsiedel +4
Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamateria…
Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment
Janek Haberer, Jon Eike Wilhelm, Olaf Landsiedel
Deploying vision models across devices with varying resource constraints, or even on a single device where available compute fluctuates due to battery state, thermal throttling, or…