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Vector Quantized Models for Planning


Jun 10, 2021
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals

* ICML 2021 

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Machine Translation Decoding beyond Beam Search


Apr 12, 2021
Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals

* 23 pages 

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Efficient Visual Pretraining with Contrastive Detection


Mar 19, 2021
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aaron van den Oord, Oriol Vinyals, João Carreira

* Technical report 

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Perceiver: General Perception with Iterative Attention


Mar 04, 2021
Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, Joao Carreira


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The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors


Jan 26, 2021
William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals

* 37 pages, initial submission, accepted at NeurIPS. arXiv admin note: substantial text overlap with arXiv:1904.10079 

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Solving Mixed Integer Programs Using Neural Networks


Dec 23, 2020
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols


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AlignNet: Unsupervised Entity Alignment


Jul 21, 2020
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan


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Strong Generalization and Efficiency in Neural Programs


Jul 08, 2020
Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals


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Pointer Graph Networks


Jun 11, 2020
Petar Veličković, 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 Gârbacea, Aäron 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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