no code implementations • 21 Sep 2023 • Tiago da Silva, Eliezer Silva, Adèle Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita
Surprisingly, while CD is a human-centered affair, no works have focused on building methods that both 1) output uncertainty estimates that can be verified by experts and 2) interact with those experts to iteratively refine CD.
1 code implementation • 28 Feb 2022 • Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio
In Bayesian structure learning, we are interested in inferring a distribution over the directed acyclic graph (DAG) structure of Bayesian networks, from data.
no code implementations • spnlp (ACL) 2022 • Marcos Treviso, António Góis, Patrick Fernandes, Erick Fonseca, André F. T. Martins
Transformers' quadratic complexity with respect to the input sequence length has motivated a body of work on efficient sparse approximations to softmax.
1 code implementation • EAMT 2020 • António Góis, Kyunghyun Cho, André Martins
Recent research in neural machine translation has explored flexible generation orders, as an alternative to left-to-right generation.
no code implementations • WS 2019 • Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins
We present the contribution of the Unbabel team to the WMT 2019 Shared Task on Quality Estimation.
1 code implementation • 24 Jul 2019 • António Góis, André F. T. Martins
The combination of machines and humans for translation is effective, with many studies showing productivity gains when humans post-edit machine-translated output instead of translating from scratch.