3 code implementations • 26 Sep 2022 • Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin
Generative flow networks (GFlowNets) are a family of algorithms for training a sequential sampler of discrete objects under an unnormalized target density and have been successfully used for various probabilistic modeling tasks.
no code implementations • EMNLP 2020 • Tom Bosc, Pascal Vincent
Using this method, we find that VAEs are prone to memorizing the first words and the sentence length, producing local features of limited usefulness.
2 code implementations • EMNLP 2018 • Tom Bosc, Pascal Vincent
Monolingual dictionaries are widespread and semantically rich resources.
no code implementations • ICLR 2018 • Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio
Words in natural language follow a Zipfian distribution whereby some words are frequent but most are rare.
Ranked #48 on Question Answering on SQuAD1.1 dev
no code implementations • 19 Oct 2016 • Tom Bosc
In an experiment, we learn a learning algorithm for a one-hidden layer Multi-Layer Perceptron (MLP) on non-linearly separable datasets.
no code implementations • LREC 2016 • Tom Bosc, Elena Cabrio, Serena Villata
The problem of understanding the stream of messages exchanged on social media such as Facebook and Twitter is becoming a major challenge for automated systems.