no code implementations • ICML 2020 • Quan Hoang, Trung Le, Dinh Phung
We propose a novel gradient-based tractable approach for the Blahut-Arimoto (BA) algorithm to compute the rate-distortion function where the BA algorithm is fully parameterized.
1 code implementation • 15 Jan 2018 • Quan Hoang
This project explores several Machine Learning methods to predict movie genres based on plot summaries.
1 code implementation • ICLR 2018 • Quan Hoang, Tu Dinh Nguyen, Trung Le, Dinh Phung
We propose in this paper a new approach to train the Generative Adversarial Nets (GANs) with a mixture of generators to overcome the mode collapsing problem.
no code implementations • 8 Aug 2017 • Quan Hoang, Tu Dinh Nguyen, Trung Le, Dinh Phung
A minimax formulation is able to establish among a classifier, a discriminator, and a set of generators in a similar spirit with GAN.