activity
20182026
most citedDynamic Channel Pruning: Feature Boosting and Suppression

204 citations · 491 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 4 cited

NAS: Constrained Neural Architecture Search for Microcontrollers

Edgar Liberis, Łukasz Dudziak, Nicholas D. Lane

IoT devices are powered by microcontroller units (MCUs) which are extremely resource-scarce: a typical MCU may have an underpowered processor and around 64 KB of memory and persist…

cs.LG2020

Iterative Compression of End-to-End ASR Model using AutoML

Abhinav Mehrotra, Łukasz Dudziak, Jinsu Yeo +9

Increasing demand for on-device Automatic Speech Recognition (ASR) systems has resulted in renewed interests in developing automatic model compression techniques. Past research hav…

eess.IV2020

Journey Towards Tiny Perceptual Super-Resolution

Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah +4

Recent works in single-image perceptual super-resolution (SR) have demonstrated unprecedented performance in generating realistic textures by means of deep convolutional networks.…

cs.LG2020★ 101 cited

BRP-NAS: Prediction-based NAS using GCNs

Łukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah +3

Neural architecture search (NAS) enables researchers to automatically explore broad design spaces in order to improve efficiency of neural networks. This efficiency is especially i…

eess.SP2020★ 2 cited

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator

Mohamed S. Abdelfattah, Łukasz Dudziak, Thomas Chau +3

Neural architecture search (NAS) has been very successful at outperforming human-designed convolutional neural networks (CNN) in accuracy, and when hardware information is present,…