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ORCIDMilad Alizadeh
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2020 – today
- 2024
[c7]Alexandre Matton, Tom Sherborne, Dennis Aumiller, Elena Tommasone, Milad Alizadeh, Jingyi He, Raymond Ma, Maxime Voisin, Ellen Gilsenan-McMahon, Matthias Gallé:
On Leakage of Code Generation Evaluation Datasets. EMNLP (Findings) 2024: 13215-13223- [i7]Alexandre Matton, Tom Sherborne, Dennis Aumiller, Elena Tommasone, Milad Alizadeh, Jingyi He, Raymond Ma, Maxime Voisin, Ellen Gilsenan-McMahon, Matthias Gallé:
On Leakage of Code Generation Evaluation Datasets. CoRR abs/2407.07565 (2024) - 2022
- [b1]Milad Alizadeh:
Compression of models and data in deep learning. University of Oxford, UK, 2022 - [j2]Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet:
COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. 2022 (2022) - [c6]Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. ICLR 2022 - [i6]Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet:
COIN++: Data Agnostic Neural Compression. CoRR abs/2201.12904 (2022) - [i5]Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. CoRR abs/2202.08132 (2022) - 2021
- [i4]Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet:
COIN: COmpression with Implicit Neural representations. CoRR abs/2103.03123 (2021) - 2020
- [c5]Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR 2020 - [i3]Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling:
Gradient 𝓁1 Regularization for Quantization Robustness. CoRR abs/2002.07520 (2020) - [i2]Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal:
Single Shot Structured Pruning Before Training. CoRR abs/2007.00389 (2020)
2010 – 2019
- 2019
- [c4]Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal:
An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) 2019 - [i1]Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner
, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal:
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. CoRR abs/1912.10481 (2019) - 2018
- [c3]Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane:
Deterministic Binary Filters for Convolutional Neural Networks. IJCAI 2018: 2739-2747 - [c2]Milad Alizadeh, Nicholas D. Lane:
Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. MobiSys 2018: 528 - 2015
- [j1]Rudzidatul Akmam Dziyauddin, Dritan Kaleshi, Angela Doufexi, Milad Alizadeh:
Performance Evaluation of Quality of Service for Joint Packet Dropping and Scheduling. Wirel. Pers. Commun. 83(2): 1549-1566 (2015) - 2012
- [c1]Milad Alizadeh, Rudzidatul Akmam Dziyauddin, Dritan Kaleshi, Angela Doufexi:
A Comparative Study of Mixed Traffic Scenarios for Different Scheduling Algorithms in WiMAX. VTC Spring 2012: 1-6
Coauthor Index
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