48 citations · 57 across the 4 of their papers we have counts for
4 papers
Floralens: a Deep Learning Model for the Portuguese Native Flora
António Filgueiras, Eduardo R. B. Marques, Luís M. B. Lopes +2
Machine-learning techniques, especially deep convolutional neural networks, are pivotal for image-based identification of biological species in many Citizen Science platforms. In t…
What to Do When Your Discrete Optimization Is the Size of a Neural Network?
Hugo Silva, Martha White
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and…
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Alan Chan, Hugo Silva, Sungsu Lim +3
Approximate Policy Iteration (API) algorithms alternate between (approximate) policy evaluation and (approximate) greedification. Many different approaches have been explored for a…
Winning the Lottery with Continuous Sparsification
Pedro Savarese, Hugo Silva, Michael Maire
The search for efficient, sparse deep neural network models is most prominently performed by pruning: training a dense, overparameterized network and removing parameters, usually v…