Milad Alizadeh

According to our database, Milad Alizadeh authored at least 15 papers between 2012 and 2024.

Collaborative distances:

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

2024

On Leakage of Code Generation Evaluation Datasets.

Alexandre Matton, Tom Sherborne, Dennis Aumiller, Elena Tommasone, Milad Alizadeh, Jingyi He, Raymond Ma, Maxime Voisin, Ellen Gilsenan-McMahon, Matthias Gallé

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

Compression of models and data in deep learning.

Milad Alizadeh

PhD thesis, 2022

COIN++: Neural Compression Across Modalities.

Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet

Trans. Mach. Learn. Res., 2022

COIN++: Data Agnostic Neural Compression.

Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet

CoRR, 2022

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.

Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

COIN: COmpression with Implicit Neural representations.

Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet

CoRR, 2021

2020

Single Shot Structured Pruning Before Training.

Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal

CoRR, 2020

Gradient 𝓁₁ Regularization for Quantization Robustness.

Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling

CoRR, 2020

Gradient $\ell_1$ Regularization for Quantization Robustness.

Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks.

Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal

CoRR, 2019

An Empirical study of Binary Neural Networks' Optimisation.

Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal

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

2018

Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices.

Milad Alizadeh, Nicholas D. Lane

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Deterministic Binary Filters for Convolutional Neural Networks.

Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2015

Performance Evaluation of Quality of Service for Joint Packet Dropping and Scheduling.

Rudzidatul Akmam Dziyauddin, Dritan Kaleshi, Angela Doufexi, Milad Alizadeh

Wirel. Pers. Commun., 2015

2012

A Comparative Study of Mixed Traffic Scenarios for Different Scheduling Algorithms in WiMAX.

Milad Alizadeh, Rudzidatul Akmam Dziyauddin, Dritan Kaleshi, Angela Doufexi

Proceedings of the 75th IEEE Vehicular Technology Conference, 2012