Timezone: »
Learning useful representations without supervision remains a key challenge in machine learning. In this paper, we propose a simple yet powerful generative model that learns such discrete representations. Our model, the Vector Quantised-Variational AutoEncoder (VQ-VAE), differs from VAEs in two key ways: the encoder network outputs discrete, rather than continuous, codes; and the prior is learnt rather than static. In order to learn a discrete latent representation, we incorporate ideas from vector quantisation (VQ). Using the VQ method allows the model to circumvent issues of ``posterior collapse'' -— where the latents are ignored when they are paired with a powerful autoregressive decoder -— typically observed in the VAE framework. Pairing these representations with an autoregressive prior, the model can generate high quality images, videos, and speech as well as doing high quality speaker conversion and unsupervised learning of phonemes, providing further evidence of the utility of the learnt representations.
Author Information
Aaron van den Oord (Google Deepmind)
Oriol Vinyals (Google DeepMind)
Oriol Vinyals is a Research Scientist at Google. He works in deep learning with the Google Brain team. Oriol holds a Ph.D. in EECS from University of California, Berkeley, and a Masters degree from University of California, San Diego. He is a recipient of the 2011 Microsoft Research PhD Fellowship. He was an early adopter of the new deep learning wave at Berkeley, and in his thesis he focused on non-convex optimization and recurrent neural networks. At Google Brain he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, language, and vision.
koray kavukcuoglu (Google DeepMind)
More from the Same Authors
-
2021 : StarCraft II Unplugged: Large Scale Offline Reinforcement Learning »
Michael Mathieu · Sherjil Ozair · Srivatsan Srinivasan · Caglar Gulcehre · Shangtong Zhang · Ray Jiang · Tom Paine · Konrad Żołna · Julian Schrittwieser · David Choi · Petko I Georgiev · Daniel Toyama · Roman Ring · Igor Babuschkin · Timo Ewalds · · Aaron van den Oord · Wojciech Czarnecki · Nando de Freitas · Oriol Vinyals -
2022 Poster: An empirical analysis of compute-optimal large language model training »
Jordan Hoffmann · Sebastian Borgeaud · Arthur Mensch · Elena Buchatskaya · Trevor Cai · Eliza Rutherford · Diego de Las Casas · Lisa Anne Hendricks · Johannes Welbl · Aidan Clark · Thomas Hennigan · Eric Noland · Katherine Millican · George van den Driessche · Bogdan Damoc · Aurelia Guy · Simon Osindero · Karén Simonyan · Erich Elsen · Oriol Vinyals · Jack Rae · Laurent Sifre -
2022 Poster: Flamingo: a Visual Language Model for Few-Shot Learning »
Jean-Baptiste Alayrac · Jeff Donahue · Pauline Luc · Antoine Miech · Iain Barr · Yana Hasson · Karel Lenc · Arthur Mensch · Katherine Millican · Malcolm Reynolds · Roman Ring · Eliza Rutherford · Serkan Cabi · Tengda Han · Zhitao Gong · Sina Samangooei · Marianne Monteiro · Jacob L Menick · Sebastian Borgeaud · Andy Brock · Aida Nematzadeh · Sahand Sharifzadeh · Mikołaj Bińkowski · Ricardo Barreira · Oriol Vinyals · Andrew Zisserman · Karén Simonyan -
2021 : Live Q&A session: Oriol Vinyals (DeepMind) »
Oriol Vinyals -
2021 : Invited Talk: Oriol Vinyals (DeepMind) »
Oriol Vinyals -
2021 Panel: The Consequences of Massive Scaling in Machine Learning »
Noah Goodman · Melanie Mitchell · Joelle Pineau · Oriol Vinyals · Jared Kaplan -
2020 : QA: Oriol Vinyals »
Oriol Vinyals -
2020 : Invited Talk: Oriol Vinyals »
Oriol Vinyals -
2020 : Multi-Format Contrastive Learning of Audio Representations »
Aaron van den Oord -
2020 Poster: Pointer Graph Networks »
Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell -
2020 Poster: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning »
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko -
2020 Spotlight: Pointer Graph Networks »
Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell -
2020 Oral: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning »
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko -
2020 Session: Orals & Spotlights Track 28: Deep Learning »
Oriol Vinyals · Guido Montufar -
2020 : Keynote Presentation I Oriol Vinyals »
Oriol Vinyals -
2019 : Grandmaster Level in StarCraft II using Multi-Agent Reinforcement Learning - Invited Talk »
Oriol Vinyals -
2019 : The MineRL competition »
Misa Ogura · Joe Booth · Sophia Sun · Nicholay Topin · Brandon Houghton · William Guss · Stephanie Milani · Oriol Vinyals · Katja Hofmann · JIA KIM · Karolis Ramanauskas · Florian Laurent · Daichi Nishio · Anssi Kanervisto · Alexey Skrynnik · Artemij Amiranashvili · Christian Scheller · KAIXIN WANG · Yanick Schraner -
2019 Poster: Wasserstein Dependency Measure for Representation Learning »
Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet -
2019 Poster: Shaping Belief States with Generative Environment Models for RL »
Karol Gregor · Danilo Jimenez Rezende · Frederic Besse · Yan Wu · Hamza Merzic · Aaron van den Oord -
2019 Poster: Generating Diverse High-Fidelity Images with VQ-VAE-2 »
Ali Razavi · Aaron van den Oord · Oriol Vinyals -
2019 Poster: Classification Accuracy Score for Conditional Generative Models »
Suman Ravuri · Oriol Vinyals -
2018 Poster: Learning to Navigate in Cities Without a Map »
Piotr Mirowski · Matt Grimes · Mateusz Malinowski · Karl Moritz Hermann · Keith Anderson · Denis Teplyashin · Karen Simonyan · koray kavukcuoglu · Andrew Zisserman · Raia Hadsell -
2018 Poster: The challenge of realistic music generation: modelling raw audio at scale »
Sander Dieleman · Aaron van den Oord · Karen Simonyan -
2018 Poster: Relational recurrent neural networks »
Adam Santoro · Ryan Faulkner · David Raposo · Jack Rae · Mike Chrzanowski · Theophane Weber · Daan Wierstra · Oriol Vinyals · Razvan Pascanu · Timothy Lillicrap -
2017 : Meta Unsupervised Learning »
Oriol Vinyals -
2017 Workshop: Deep Learning: Bridging Theory and Practice »
Sanjeev Arora · Maithra Raghu · Russ Salakhutdinov · Ludwig Schmidt · Oriol Vinyals -
2017 : Distilling Expensive Simulations with Neural Networks »
Oriol Vinyals -
2017 Poster: Imagination-Augmented Agents for Deep Reinforcement Learning »
Sébastien Racanière · Theophane Weber · David Reichert · Lars Buesing · Arthur Guez · Danilo Jimenez Rezende · Adrià Puigdomènech Badia · Oriol Vinyals · Nicolas Heess · Yujia Li · Razvan Pascanu · Peter Battaglia · Demis Hassabis · David Silver · Daan Wierstra -
2017 Oral: Imagination-Augmented Agents for Deep Reinforcement Learning »
Sébastien Racanière · Theophane Weber · David Reichert · Lars Buesing · Arthur Guez · Danilo Jimenez Rezende · Adrià Puigdomènech Badia · Oriol Vinyals · Nicolas Heess · Yujia Li · Razvan Pascanu · Peter Battaglia · Demis Hassabis · David Silver · Daan Wierstra -
2017 Tutorial: Deep Learning: Practice and Trends »
Nando de Freitas · Scott Reed · Oriol Vinyals -
2016 Poster: Conditional Image Generation with PixelCNN Decoders »
Aaron van den Oord · Nal Kalchbrenner · Lasse Espeholt · koray kavukcuoglu · Oriol Vinyals · Alex Graves -
2016 Poster: Attend, Infer, Repeat: Fast Scene Understanding with Generative Models »
S. M. Ali Eslami · Nicolas Heess · Theophane Weber · Yuval Tassa · David Szepesvari · koray kavukcuoglu · Geoffrey E Hinton -
2016 Poster: An Online Sequence-to-Sequence Model Using Partial Conditioning »
Navdeep Jaitly · Quoc V Le · Oriol Vinyals · Ilya Sutskever · David Sussillo · Samy Bengio -
2016 Poster: Interaction Networks for Learning about Objects, Relations and Physics »
Peter Battaglia · Razvan Pascanu · Matthew Lai · Danilo Jimenez Rezende · koray kavukcuoglu -
2016 Poster: Strategic Attentive Writer for Learning Macro-Actions »
Alexander (Sasha) Vezhnevets · Volodymyr Mnih · Simon Osindero · Alex Graves · Oriol Vinyals · John Agapiou · koray kavukcuoglu -
2016 Poster: Matching Networks for One Shot Learning »
Oriol Vinyals · Charles Blundell · Timothy Lillicrap · koray kavukcuoglu · Daan Wierstra -
2015 Poster: Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks »
Samy Bengio · Oriol Vinyals · Navdeep Jaitly · Noam Shazeer -
2015 Poster: Natural Neural Networks »
Guillaume Desjardins · Karen Simonyan · Razvan Pascanu · koray kavukcuoglu -
2015 Poster: Spatial Transformer Networks »
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu -
2015 Poster: Pointer Networks »
Oriol Vinyals · Meire Fortunato · Navdeep Jaitly -
2015 Spotlight: Pointer Networks »
Oriol Vinyals · Meire Fortunato · Navdeep Jaitly -
2015 Spotlight: Spatial Transformer Networks »
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu -
2015 Poster: Grammar as a Foreign Language »
Oriol Vinyals · Łukasz Kaiser · Terry Koo · Slav Petrov · Ilya Sutskever · Geoffrey Hinton -
2015 Tutorial: Large-Scale Distributed Systems for Training Neural Networks »
Jeff Dean · Oriol Vinyals -
2014 Poster: Recurrent Models of Visual Attention »
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu -
2014 Spotlight: Recurrent Models of Visual Attention »
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu -
2014 Poster: Factoring Variations in Natural Images with Deep Gaussian Mixture Models »
Aaron van den Oord · Benjamin Schrauwen -
2013 Demonstration: Deep Content-Based Music Recommendation »
Aaron van den Oord · Sander Dieleman · Benjamin Schrauwen -
2013 Poster: Deep content-based music recommendation »
Aaron van den Oord · Sander Dieleman · Benjamin Schrauwen -
2012 Poster: Learning the Dependency Structure of Latent Factors »
Yunlong He · Yanjun Qi · koray kavukcuoglu · Haesun Park -
2010 Spotlight: Learning Convolutional Feature Hierarchies for Visual Recognition »
koray kavukcuoglu · Pierre Sermanet · Y-Lan Boureau · Karol Gregor · Michael Mathieu · Yann LeCun -
2010 Poster: Learning Convolutional Feature Hierarchies for Visual Recognition »
koray kavukcuoglu · Pierre Sermanet · Y-Lan Boureau · Karol Gregor · Michael Mathieu · Yann LeCun