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Pointer Graph Networks

Jun 11, 2020
Petar Velińćkovińá, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell


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Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning

Mar 27, 2020
Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno

* 10 pages, 2 figures 

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The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective

Mar 12, 2020
Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Oriol Vinyals, Noboru Sean Kuno

* 10 pages, 2 figures 

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Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder

Oct 14, 2019
Cristina G√Ęrbacea, A√§ron van den Oord, Yazhe Li, Felicia S C Lim, Alejandro Luebs, Oriol Vinyals, Thomas C Walters

* ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 735-739. IEEE, 2019 
* ICASSP 2019 

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Unsupervised Doodling and Painting with Improved SPIRAL

Oct 02, 2019
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami

* See https://learning-to-paint.github.io for an interactive version of this paper, with videos 

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Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Sep 19, 2019
Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals


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Generating Diverse High-Fidelity Images with VQ-VAE-2

Jun 02, 2019
Ali Razavi, Aaron van den Oord, Oriol Vinyals


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REGAL: Transfer Learning For Fast Optimization of Computation Graphs

May 30, 2019
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals


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Classification Accuracy Score for Conditional Generative Models

May 26, 2019
Suman Ravuri, Oriol Vinyals


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Graph Matching Networks for Learning the Similarity of Graph Structured Objects

May 12, 2019
Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli

* Accepted as a conference paper at ICML 2019 

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Attentive Neural Processes

Jan 17, 2019
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh


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Preventing Posterior Collapse with delta-VAEs

Jan 10, 2019
Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals


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Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning

Dec 03, 2018
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, Ali Eslami, Oriol Vinyals, Tejas Kulkarni


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Relational inductive biases, deep learning, and graph networks

Oct 17, 2018
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu


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Meta-Learning with Latent Embedding Optimization

Sep 28, 2018
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell


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Sample Efficient Adaptive Text-to-Speech

Sep 27, 2018
Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas


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Deep Audio-Visual Speech Recognition

Sep 06, 2018
Triantafyllos Afouras, Joon Son Chung, Andrew Senior, Oriol Vinyals, Andrew Zisserman


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Learning to Search with MCTSnets

Jul 17, 2018
Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver

* ICML 2018 (camera-ready version) 

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Universal Transformers

Jul 10, 2018
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, ŇĀukasz Kaiser


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Representation Learning with Contrastive Predictive Coding

Jul 10, 2018
Aaron van den Oord, Yazhe Li, Oriol Vinyals


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Relational recurrent neural networks

Jun 28, 2018
Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap


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Relational Deep Reinforcement Learning

Jun 28, 2018
Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia


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Learning Implicit Generative Models with the Method of Learned Moments

Jun 28, 2018
Suman Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals

* ICML 2018, 6 figures, 17 pages 

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Neural Discrete Representation Learning

May 30, 2018
Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu


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A Study on Overfitting in Deep Reinforcement Learning

Apr 20, 2018
Chiyuan Zhang, Oriol Vinyals, Remi Munos, Samy Bengio


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Synthesizing Programs for Images using Reinforced Adversarial Learning

Apr 03, 2018
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals

* 12 pages, 13 figures 

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Bayesian Recurrent Neural Networks

Mar 21, 2018
Meire Fortunato, Charles Blundell, Oriol Vinyals


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Learning Deep Generative Models of Graphs

Mar 08, 2018
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter Battaglia

* 21 pages 

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