Milad Alizadeh

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Topics

Distributed Representations

Weighted Average

Convolutional Neural Networks

Top Venues

Wirel. Pers. Commun.

Publications

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 (2024)
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 (2022)
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)
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
COIN++: Data Agnostic Neural Compression. CoRR (2022)
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. 2022 (2022)
Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet
COIN: COmpression with Implicit Neural representations. CoRR (2021)
Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR (2020)
Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal
Single Shot Structured Pruning Before Training. CoRR (2020)
Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
Regularization for Quantization Robustness. CoRR (2020)
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 (2019)
Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal
An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) (2019)
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)
Milad Alizadeh, Nicholas D. Lane
Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. MobiSys (2018)
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) (2015)
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)