Milad Alizadeh

18 papers A* 3A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	What Matters for Bioacoustic Encoding. CoRR Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane Lawton, Jen-Yu Liu, Aza Raskin, Olivier Pietquin, Matthieu Geist
2024	—	`conf`	On Leakage of Code Generation Evaluation Datasets. EMNLP (Findings) Alexandre Matton, Tom Sherborne, Dennis Aumiller, Elena Tommasone, Milad Alizadeh, Jingyi He, Raymond Ma, Maxime Voisin, Ellen Gilsenan-McMahon, Matthias Gallé
2024	J	`jnl`	On Leakage of Code Generation Evaluation Datasets. CoRR Alexandre Matton, Tom Sherborne, Dennis Aumiller, Elena Tommasone, Milad Alizadeh, Jingyi He, Raymond Ma, Maxime Voisin, Ellen Gilsenan-McMahon, Matthias Gallé
2022	J	`jnl`	COIN++: Data Agnostic Neural Compression. CoRR Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
2022	—	`—`	Compression of models and data in deep learning. Milad Alizadeh
2022	A*	`conf`	Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. ICLR Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal
2022	J	`jnl`	Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. CoRR Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal
2021	J	`jnl`	COIN: COmpression with Implicit Neural representations. CoRR Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet
2020	A*	`conf`	Gradient $\ell_1$ Regularization for Quantization Robustness. ICLR Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Gradient 𝓁 CoRR Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
2020	J	`jnl`	Single Shot Structured Pruning Before Training. CoRR Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal
2019	J	`jnl`	A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. CoRR Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal
2019	—	`conf`	An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal
2018	A*	`conf`	Deterministic Binary Filters for Convolutional Neural Networks. IJCAI Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane
2018	A	`conf`	Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. MobiSys Milad Alizadeh, Nicholas D. Lane
2015	J	`jnl`	Performance Evaluation of Quality of Service for Joint Packet Dropping and Scheduling. Wirel. Pers. Commun. Rudzidatul Akmam Dziyauddin, Dritan Kaleshi, Angela Doufexi, Milad Alizadeh
2012	—	`conf`	A Comparative Study of Mixed Traffic Scenarios for Different Scheduling Algorithms in WiMAX. VTC Spring Milad Alizadeh, Rudzidatul Akmam Dziyauddin, Dritan Kaleshi, Angela Doufexi