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Referring to Screen Texts with Voice Assistants
We collect a dataset and propose a lightweight general-purpose model for this novel experience.
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators
This paper studies structured sparse training of CNNs with a gradual pruning technique that leads to fixed, sparse weight matrices after a set number of epochs.
Starfire: Regularization-Free Adversarially-Robust Structured Sparse Training
We show that our method creates a sparse version of ResNet50 and ResNet50v1. 5 on full ImageNet while remaining within a negligible <1% margin of accuracy loss.
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