Milad Alizadeh
5 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(5)
Deep Learning
(4)
Application Areas
(4)
Optimization & Theory · Machine Learning
(4)
Techniques
(3)
Artificial Intelligence
(2)
Core AI · Artificial Intelligence
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Applications
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Learning Types
(1)
Keywords
binary neural network
(2)
model compression
(1)
post-training quantization
(1)
benchmark evaluation
(1)
model selection
(1)
model robustness
(1)
code generation
(1)
network pruning
(1)
neural network optimization
(1)
efficient computing
(1)
gradient descent
(1)
sparse model
(1)
convolutional neural network
(1)
synthetic data
(1)
weight quantization
(1)
data contamination
(1)
benchmark contamination
(1)
gradient regularization
(1)
network quantization
(1)
vision classification
(1)
Papers
On Leakage of Code Generation Evaluation Datasets
EMNLP 2024
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
ICLR 2022
Gradient ℓ_1 Regularization for Quantization Robustness
ICLR 2020
An Empirical study of Binary Neural Networks' Optimisation
ICLR 2019
Deterministic Binary Filters for Convolutional Neural Networks
IJCAI 2018