Search Results for author: Quan Hoang

Found 4 papers, 2 papers with code

Parameterized Rate-Distortion Stochastic Encoder

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.

Predicting Movie Genres Based on Plot Summaries

1 code implementation15 Jan 2018 Quan Hoang

This project explores several Machine Learning methods to predict movie genres based on plot summaries.

BIG-bench Machine Learning General Classification +2

MGAN: Training Generative Adversarial Nets with Multiple Generators

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.

Multi-Generator Generative Adversarial Nets

no code implementations8 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.

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