Lukasz Dudziak

According to our database, Lukasz Dudziak authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA.

Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk

CoRR, 2024

Recurrent Early Exits for Federated Learning with Heterogeneous Clients.

Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane

CoRR, 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

CoRR, 2024

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

CoRR, 2023

Neural Fine-Tuning Search for Few-Shot Learning.

Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales

CoRR, 2023

Exploiting Network Compressibility and Topology in Zero-Cost NAS.

Lichuan Xiang, Rosco Hunter, Minghao Xu, Lukasz Dudziak, Hongkai Wen

Proceedings of the International Conference on Automated Machine Learning, 2023

Zero-Cost Operation Scoring in Differentiable Architecture Search.

Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Federated Learning for Inference at Anytime and Anywhere.

Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales

CoRR, 2022

FedorAS: Federated Architecture Search under system heterogeneity.

Lukasz Dudziak, Stefanos Laskaridis, Javier Fernández-Marqués

CoRR, 2022

BLOX: Macro Neural Architecture Search Benchmark and Algorithms.

Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers.

Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martínez

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Zero-Cost Proxies Meet Differentiable Architecture Search.

Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen

CoRR, 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

Proceedings of the IMC '21: ACM Internet Measurement Conference, 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, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane

Proceedings of the 9th International Conference on Learning Representations, 2021

Zero-Cost Proxies for Lightweight NAS.

Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas Donald Lane

Proceedings of the 9th International Conference on Learning Representations, 2021

μNAS: Constrained Neural Architecture Search for Microcontrollers.

Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020

BRP-NAS: Prediction-based NAS using GCNs.

Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search.

Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Journey Towards Tiny Perceptual Super-Resolution.

Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.

Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.

Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning.

Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Dynamic Channel Pruning: Feature Boosting and Suppression.

Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu

Proceedings of the 7th International Conference on Learning Representations, 2019