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1 de sept. de 2014 · Neural Machine Translation by Jointly Learning to Align and Translate. Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio. Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be ...
30 de oct. de 2017 · Graph Attention Networks. We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations. By stacking layers in which nodes are able to attend over ...
Equivariance with Learned Canonicalization Functions. ICML 2023: 15546-15566. [c423] Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand: Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning.
16 de abr. de 2021 · Author links open overlay panel Yoshua Bengio c b, Andrea Lodi a b, Antoine Prouvost a b. Show more. Add to Mendeley. ... Section 2 provides minimal prerequisites in combinatorial optimization, machine learning, deep learning, and reinforcement learning necessary to fully grasp the content of the paper.
Recurrent neural networks can be used to map input sequences to output sequences, such as for recognition, production or prediction problems. However, practical difficulties have been reported in training recurrent neural networks to perform tasks in which the temporal contingencies present in the input/output sequences span long intervals. We show why gradient based learning algorithms face ...
12 de ago. de 2023 · On May 31st, 2023, a BBC web page headlined: “AI ‘godfather’ Yoshua Bengio feels ‘lost’ over life’s work.” However, this is a statement I never made, not to the BBC nor to any other media. I did attempt, in these interviews, to articulate a psychological challenge I was contending with.
Journal of Machine Learning Research 13 (2012) 281-305 Submitted 3/11; Revised 9/11; Published 2/12 Random Search for Hyper-Parameter Optimization James Bergstra JAMES.BERGSTRA@UMONTREAL.CA Yoshua Bengio YOSHUA.BENGIO@UMONTREAL.CA D´epartement d’Informatique et de recherche op ´erationnelle Universite de Montr´ eal´ Montreal, QC, H3C 3J7 ...
