Lista de obras - Aaron Courville - Dominio Público Uruguay

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

artículo científico publicado en 2017

A Recurrent Latent Variable Model for Sequential Data ⬇️

A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations ⬇️

artículo científico publicado el 10 de marzo de 2011

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism ⬇️

artículo científico publicado en 2009

An empirical evaluation of deep architectures on problems with many factors of variation

scholarly article published 2007

Bayesian theories of conditioning in a changing world

artículo científico publicado en 2006

Brain tumor segmentation with Deep Neural Networks ⬇️

artículo científico publicado en 2016

Challenges in Representation Learning: A Report on Three Machine Learning Contests

scholarly article by Ian J. Goodfellow et al published 2013 in Lecture Notes in Computer Science

Challenges in representation learning: a report on three machine learning contests

artículo científico publicado en 2014

Char2Wav: End-to-End Speech Synthesis

artículo científico publicado en 2017

Deep Learning ⬇️

libro de Ian Goodfellow

Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks ⬇️

article by Kyunghyun Cho et al published November 2015 in IEEE Transactions on Multimedia

Generative Adversarial Nets ⬇️

paper introducing GANs

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models ⬇️

artículo científico publicado en 2017

Improved Training of Wasserstein GANs ⬇️

artículo científico publicado en 2017

Improving Explorability in Variational Inference with Annealed Variational Objectives ⬇️

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis ⬇️

artículo científico publicado en 2019

Model Uncertainty in Classical Conditioning ⬇️

artículo científico publicado en 2004

Modeling Temporal Structure in Classical Conditioning ⬇️

artículo científico publicado en 2002

Modulating early visual processing by language ⬇️

artículo científico publicado en 2017

Movie Description

Multi-Prediction Deep Boltzmann Machines ⬇️

No-Press Diplomacy: Modeling Multi-Agent Gameplay ⬇️

On Tracking The Partition Function ⬇️

artículo científico publicado en 2011

Ordered Memory ⬇️

Professor Forcing: A New Algorithm for Training Recurrent Networks ⬇️

artículo científico publicado en 2016

Representation Learning: A Review and New Perspectives

review article by Bengio, Courville and Vincent on arXiv

Representation and timing in theories of the dopamine system

artículo científico publicado en 2006

Representation learning: a review and new perspectives

artículo científico

Scaling up spike-and-slab models for unsupervised feature learning

artículo científico publicado en 2013

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

scholarly article

Similarity and Discrimination in Classical Conditioning: A Latent Variable Account ⬇️

artículo científico publicado en 2005

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions

artículo científico publicado en 2014

The rat as particle filter ⬇️

Timing and Partial Observability in the Dopamine System ⬇️

artículo científico publicado en 2003

Towards Text Generation with Adversarially Learned Neural Outlines ⬇️

Unsupervised Learning of Dense Visual Representations ⬇️

artículo científico publicado en 2020

FER-2013

conjunto de datos con rostros que muestran emociones

Lista de obras de Aaron Courville

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

A Recurrent Latent Variable Model for Sequential Data ⬇️

A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations ⬇️

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism ⬇️

An empirical evaluation of deep architectures on problems with many factors of variation

Bayesian theories of conditioning in a changing world

Brain tumor segmentation with Deep Neural Networks ⬇️

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Challenges in representation learning: a report on three machine learning contests

Char2Wav: End-to-End Speech Synthesis

Deep Learning ⬇️

Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks ⬇️

Generative Adversarial Nets ⬇️

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models ⬇️

Improved Training of Wasserstein GANs ⬇️

Improving Explorability in Variational Inference with Annealed Variational Objectives ⬇️

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis ⬇️

Model Uncertainty in Classical Conditioning ⬇️

Modeling Temporal Structure in Classical Conditioning ⬇️

Modulating early visual processing by language ⬇️

Movie Description

Multi-Prediction Deep Boltzmann Machines ⬇️

No-Press Diplomacy: Modeling Multi-Agent Gameplay ⬇️

On Tracking The Partition Function ⬇️

Ordered Memory ⬇️

Professor Forcing: A New Algorithm for Training Recurrent Networks ⬇️

Representation Learning: A Review and New Perspectives

Representation and timing in theories of the dopamine system

Representation learning: a review and new perspectives

Scaling up spike-and-slab models for unsupervised feature learning

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Similarity and Discrimination in Classical Conditioning: A Latent Variable Account ⬇️

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions

The rat as particle filter ⬇️

Timing and Partial Observability in the Dopamine System ⬇️

Towards Text Generation with Adversarially Learned Neural Outlines ⬇️

Unsupervised Learning of Dense Visual Representations ⬇️

FER-2013