Alizadeh, Milad

6 publications

TMLR 2022 COIN++: Neural Compression Across Modalities Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet

ICLR 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

ICLRW 2021 COIN: COmpression with Implicit Neural Representations Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet

ICLR 2020 Gradient $\ell_1$ Regularization for Quantization Robustness Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling

ICLR 2019 An Empirical Study of Binary Neural Networks' Optimisation Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal

IJCAI 2018 Deterministic Binary Filters for Convolutional Neural Networks Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane