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Dudziak, Łukasz
82  Ergebnisse:
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1

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices wit..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Pan, Junting ; Bulat, Adrian ; Tan, Fuwen... - p. 294-311 , 2022
Link: https://doi.org/10.1007/..
 
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2

μNAS : Constrained Neural Architecture Search for Microc..:

, In: Proceedings of the 1st Workshop on Machine Learning and Systems,
Liberis, Edgar ; Dudziak, Łukasz ; Lane, Nicholas D. - p. 70-79 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

Smart at what cost? : characterising mobile deep neural ..:

, In: Proceedings of the 21st ACM Internet Measurement Conference,
Almeida, Mario ; Laskaridis, Stefanos ; Mehrotra, Abhinav... - p. 658-672 , 2021
Link: https://dl.acm.org/doi/1..
 
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4

Journey Towards Tiny Perceptual Super-Resolution:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Lee, Royson ; Dudziak, Łukasz ; Abdelfattah, Mohamed... - p. 85-102 , 2020
Link: https://doi.org/10.1007/..
 
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5

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

, In: Proceedings of the 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays,
Abdelfattah, Mohamed S. ; Dudziak, Lukasz ; Chau, Thomas... - p. 315 ff. , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Best of both worlds : AutoML codesign of a CNN and its h..:

, In: Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference,
Abdelfattah, Mohamed S. ; Dudziak, Łukasz ; Chau, Thomas... - p. 1-6 , 2020
Link: https://dl.acm.org/doi/1..
 
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7

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

, In: 2020 57th ACM/IEEE Design Automation Conference (DAC),
Abdelfattah, Mohamed S. ; Dudziak, Lukasz ; Chau, Thomas... - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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8

Poster : MobiSR -- Efficient On-Device Super-Resolution ..:

, In: The 25th Annual International Conference on Mobile Computing and Networking,
Lee, Royson ; Venieris, Stylianos I. ; Dudziak, Łukasz.. - p. 1-3 , 2019
Link: https://dl.acm.org/doi/1..
 
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9

MobiSR : Efficient On-Device Super-Resolution through He..:

, In: The 25th Annual International Conference on Mobile Computing and Networking,
Lee, Royson ; Venieris, Stylianos I. ; Dudziak, Lukasz.. - p. 1-16 , 2019
Link: https://dl.acm.org/doi/1..
 
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10

Mitigating autogenous shrinkage of Ultra-High Performance C..:

Dudziak, Lukasz , 2017
Link: http://nbn-resolving.de/..
 
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11

Fast Inference Through The Reuse Of Attention Maps In Diffu..:

Hunter, Rosco ; Dudziak, Łukasz ; Abdelfattah, Mohamed S...
http://arxiv.org/abs/2401.01008.  , 2023
Link: http://arxiv.org/abs/240..
 
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12

How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptati..:

Loya, Hrushikesh ; Dudziak, Łukasz ; Mehrotra, Abhinav...
http://arxiv.org/abs/2311.18451.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Neural Fine-Tuning Search for Few-Shot Learning:

Eustratiadis, Panagiotis ; Dudziak, Łukasz ; Li, Da.
http://arxiv.org/abs/2306.09295.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

FedorAS: Federated Architecture Search under system heterog..:

Dudziak, Lukasz ; Laskaridis, Stefanos ; Fernandez-Marques, Javier
http://arxiv.org/abs/2206.11239.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Federated Learning for Inference at Anytime and Anywhere:

Liu, Zicheng ; Li, Da ; Fernandez-Marques, Javier...
http://arxiv.org/abs/2212.04084.  , 2022
Link: http://arxiv.org/abs/221..
 
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