7 citations · 7 across the 1 of their papers we have counts for
2 papers
stat.ML2023★ 7 cited
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
Minh Tri Lê, Pierre Wolinski, Julyan Arbel
The field of Tiny Machine Learning (TinyML) has gained significant attention due to its potential to enable intelligent applications on resource-constrained devices. This review pr…
cs.LG2018
Learning with Random Learning Rates
Léonard Blier, Pierre Wolinski, Yann Ollivier
Hyperparameter tuning is a bothersome step in the training of deep learning models. One of the most sensitive hyperparameters is the learning rate of the gradient descent. We prese…