Lukasz Dudziak

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Iterative Reconstruction Algorithm

Speech Recognition

Top Venues

Publications

Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
Neural Fine-Tuning Search for Few-Shot Learning. ICLR (2024)
Rosco Hunter, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Sourav Bhattacharya, Hongkai Wen
Fast Inference Through The Reuse Of Attention Maps In Diffusion Models. CoRR (2024)
Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
Zero-Cost Operation Scoring in Differentiable Architecture Search. AAAI (2023)
Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR (2023)
Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
Neural Fine-Tuning Search for Few-Shot Learning. CoRR (2023)
Lichuan Xiang, Rosco Hunter, Minghao Xu, Lukasz Dudziak, Hongkai Wen
Exploiting Network Compressibility and Topology in Zero-Cost NAS. AutoML (2023)
Lukasz Dudziak, Stefanos Laskaridis, Javier Fernández-Marqués
FedorAS: Federated Architecture Search under system heterogeneity. CoRR (2022)
Thomas Chun-Pong Chau, Lukasz Dudziak, Hongkai Wen, Nicholas Donald Lane, Mohamed S. Abdelfattah
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. CoRR (2022)
Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS (2022)
Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martínez
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers. CoRR (2022)
Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
Federated Learning for Inference at Anytime and Anywhere. CoRR (2022)
Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martínez
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers. ECCV (11) (2022)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR (2021)
Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
Zero-Cost Proxies Meet Differentiable Architecture Search. CoRR (2021)
Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane
Zero-Cost Proxies for Lightweight NAS. CoRR (2021)
Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane
μNAS: Constrained Neural Architecture Search for Microcontrollers. EuroMLSys@EuroSys (2021)
Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas Donald Lane
Zero-Cost Proxies for Lightweight NAS. ICLR (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference (2021)
Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas C. P. Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. ICLR (2021)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR (2020)
Thomas C. P. Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
BRP-NAS: Prediction-based NAS using GCNs. CoRR (2020)
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
Iterative Compression of End-to-End ASR Model Using AutoML. INTERSPEECH (2020)
Lukasz Dudziak, Thomas C. P. Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
BRP-NAS: Prediction-based NAS using GCNs. NeurIPS (2020)
Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane
μNAS: Constrained Neural Architecture Search for Microcontrollers. CoRR (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. CoRR (2020)
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
Iterative Compression of End-to-End ASR Model using AutoML. CoRR (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC (2020)
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. CoRR (2019)
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom (2019)
Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. INTERSPEECH (2019)
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom (2019)
Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. CoRR (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. CoRR (2018)