1 code implementation • 15 Feb 2024 • 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 training of binary networks.
no code implementations • 13 Feb 2024 • António Filgueiras, Eduardo R. B. Marques, Luís M. B. Lopes, Miguel Marques, Hugo Silva
Machine-learning techniques, namely deep convolutional neural networks, are pivotal for image-based identification of biological species in many Citizen Science platforms.
1 code implementation • 11 Apr 2023 • Luigi Riz, Andrea Caraffa, Matteo Bortolon, Mohamed Lamine Mekhalfi, Davide Boscaini, André Moura, José Antunes, André Dias, Hugo Silva, Andreas Leonidou, Christos Constantinides, Christos Keleshis, Dante Abate, Fabio Poiesi
MONET is different from previous thermal drone datasets because it features multimodal data, including rural scenes captured with thermal cameras containing both person and vehicle targets, along with trajectory information and metadata.
no code implementations • 17 Jul 2021 • Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
Approximate Policy Iteration (API) algorithms alternate between (approximate) policy evaluation and (approximate) greedification.
2 code implementations • NeurIPS 2020 • Pedro Savarese, Hugo Silva, Michael Maire
Additionally, the recent Lottery Ticket Hypothesis conjectures that, for a typically-sized neural network, it is possible to find small sub-networks which, when trained from scratch on a comparable budget, match the performance of the original dense counterpart.