Dynamic Channel Pruning: Feature Boosting and Suppression. - Xitong Gao; Yiren Zhao; Lukasz Dudziak; Robert D. Mullins; Cheng-Zhong Xu 001 (ICLR (Poster), 2019)

ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. - Lukasz Dudziak; Mohamed S. Abdelfattah; Ravichander Vipperla; Stefanos Laskaridis; Nicholas D. Lane (INTERSPEECH, 2019)

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. - Royson Lee; Stylianos I. Venieris; Lukasz Dudziak; Sourav Bhattacharya; Nicholas D. Lane (MobiCom, 2019)

Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. - Royson Lee; Stylianos I. Venieris; Lukasz Dudziak; Sourav Bhattacharya; Nicholas D. Lane (MobiCom, 2019)

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. - Mohamed S. Abdelfattah; Lukasz Dudziak; Thomas Chau 001; Royson Lee; Hyeji Kim; Nicholas D. Lane (DAC, 2020)

Journey Towards Tiny Perceptual Super-Resolution. - Royson Lee; Lukasz Dudziak; Mohamed S. Abdelfattah; Stylianos I. Venieris; Hyeji Kim; Hongkai Wen 001; Nicholas D. Lane (ECCV (26), 2020)

Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. - Mohamed S. Abdelfattah; Lukasz Dudziak; Thomas Chau 001; Royson Lee; Hyeji Kim; Nicholas D. Lane (FPGA, 2020)

Iterative Compression of End-to-End ASR Model Using AutoML. - Abhinav Mehrotra; Lukasz Dudziak; Jinsu Yeo; Young-Yoon Lee; Ravichander Vipperla; Mohamed S. Abdelfattah; Sourav Bhattacharya; Samin Ishtiaq; Alberto Gil C. P. Ramos; SangJeong Lee; Daehyun Kim; Nicholas D. Lane (INTERSPEECH, 2020)

BRP-NAS: Prediction-based NAS using GCNs. - Lukasz Dudziak; Thomas Chau 001; Mohamed S. Abdelfattah; Royson Lee; Hyeji Kim; Nicholas D. Lane (NeurIPS, 2020)

μNAS: Constrained Neural Architecture Search for Microcontrollers. - Edgar Liberis; Lukasz Dudziak; Nicholas D. Lane (EuroMLSys@EuroSys, 2021)

Zero-Cost Proxies for Lightweight NAS. - Mohamed S. Abdelfattah; Abhinav Mehrotra; Lukasz Dudziak; Nicholas Donald Lane (ICLR, 2021)

NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. - Abhinav Mehrotra; Alberto Gil C. P. Ramos; Sourav Bhattacharya; Lukasz Dudziak; Ravichander Vipperla; Thomas Chau 001; Mohamed S. Abdelfattah; Samin Ishtiaq; Nicholas Donald Lane (ICLR, 2021)

Smart at what cost?: characterising mobile deep neural networks in the wild. - Mário Almeida; Stefanos Laskaridis; Abhinav Mehrotra; Lukasz Dudziak; Ilias Leontiadis; Nicholas D. Lane (Internet Measurement Conference, 2021)

Zero-Cost Proxies Meet Differentiable Architecture Search. - Lichuan Xiang; Lukasz Dudziak; Mohamed S. Abdelfattah; Thomas Chau 001; Nicholas D. Lane; Hongkai Wen 001 (CoRR, 2021)

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers. - Junting Pan; Adrian Bulat; Fuwen Tan; Xiatian Zhu; Lukasz Dudziak; Hongsheng Li 001; Georgios Tzimiropoulos; Brais Martínez (ECCV (11), 2022)

BLOX: Macro Neural Architecture Search Benchmark and Algorithms. - Thomas Chau 001; Lukasz Dudziak; Hongkai Wen 001; Nicholas D. Lane; Mohamed S. Abdelfattah (NeurIPS, 2022)

FedorAS: Federated Architecture Search under system heterogeneity. - Lukasz Dudziak; Stefanos Laskaridis; Javier Fernández-Marqués (CoRR, 2022)

Federated Learning for Inference at Anytime and Anywhere. - Zicheng Liu 006; Da Li 001; Javier Fernández-Marqués; Stefanos Laskaridis; Yan Gao 016; Lukasz Dudziak; Stan Z. Li; Shell Xu Hu; Timothy M. Hospedales (CoRR, 2022)

Zero-Cost Operation Scoring in Differentiable Architecture Search. - Lichuan Xiang; Lukasz Dudziak; Mohamed S. Abdelfattah; Thomas C. P. Chau; Nicholas D. Lane; Hongkai Wen 001 (AAAI, 2023)

Exploiting Network Compressibility and Topology in Zero-Cost NAS. - Lichuan Xiang; Rosco Hunter; Minghao Xu; Lukasz Dudziak; Hongkai Wen 001 (AutoML, 2023)

How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. - Hrushikesh Loya; Lukasz Dudziak; Abhinav Mehrotra; Royson Lee; Javier Fernández-Marqués; Nicholas D. Lane; Hongkai Wen 001 (CoRR, 2023)

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. - Zehuan Zhang; Hongxiang Fan; Hao Mark Chen; Lukasz Dudziak; Wayne Luk (DAC, 2024)

MobileQuant: Mobile-friendly Quantization for On-device Language Models. - Fuwen Tan; Royson Lee; Lukasz Dudziak; Shell Xu Hu; Sourav Bhattacharya; Timothy M. Hospedales; Georgios Tzimiropoulos; Brais Martínez (EMNLP (Findings), 2024)

Neural Fine-Tuning Search for Few-Shot Learning. - Panagiotis Eustratiadis; Lukasz Dudziak; Da Li 001; Timothy M. Hospedales (ICLR, 2024)

Recurrent Early Exits for Federated Learning with Heterogeneous Clients. - Royson Lee; Javier Fernández-Marqués; Shell Xu Hu; Da Li 001; Stefanos Laskaridis; Lukasz Dudziak; Timothy M. Hospedales; Ferenc Huszár; Nicholas Donald Lane (ICML, 2024)

Towards Neural Architecture Search through Hierarchical Generative Modeling. - Lichuan Xiang; Lukasz Dudziak; Mohamed S. Abdelfattah; Abhinav Mehrotra; Nicholas Donald Lane; Hongkai Wen 001 (ICML, 2024)

Fast Inference Through The Reuse Of Attention Maps In Diffusion Models. - Rosco Hunter; Lukasz Dudziak; Mohamed S. Abdelfattah; Abhinav Mehrotra; Sourav Bhattacharya; Hongkai Wen 001 (CoRR, 2024)