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Divide and Contrast: Self-supervised Learning from Uncurated Data


May 17, 2021
Yonglong Tian, Olivier J. Henaff, Aaron van den Oord


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Multimodal Self-Supervised Learning of General Audio Representations


Apr 28, 2021
Luyu Wang, Pauline Luc, Adria Recasens, Jean-Baptiste Alayrac, Aaron van den Oord


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Multi-Format Contrastive Learning of Audio Representations


Mar 24, 2021
Luyu Wang, Aaron van den Oord


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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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Learning Robust and Multilingual Speech Representations


Jan 29, 2020
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aaron van den Oord


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Shaping Belief States with Generative Environment Models for RL


Jun 24, 2019
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord

* pre-print 

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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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Data-Efficient Image Recognition with Contrastive Predictive Coding


May 22, 2019
Olivier J. Hénaff, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord


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On Variational Bounds of Mutual Information


May 16, 2019
Ben Poole, Sherjil Ozair, Aaron van den Oord, Alexander A. Alemi, George Tucker

* ICML 2019 

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Wasserstein Dependency Measure for Representation Learning


Mar 28, 2019
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine, Pierre Sermanet


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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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Efficient Neural Audio Synthesis


Jun 25, 2018
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aaron van den Oord, Sander Dieleman, Koray Kavukcuoglu

* 10 pages 

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Adversarial Risk and the Dangers of Evaluating Against Weak Attacks


Jun 12, 2018
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli


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Neural Discrete Representation Learning


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


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Associative Compression Networks for Representation Learning


Apr 26, 2018
Alex Graves, Jacob Menick, Aaron van den Oord

* Revised to clarify difference between ACN and IID loss 

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Parallel WaveNet: Fast High-Fidelity Speech Synthesis


Nov 28, 2017
Aaron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis


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Count-Based Exploration with Neural Density Models


Jun 14, 2017
Georg Ostrovski, Marc G. Bellemare, Aaron van den Oord, Remi Munos


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Neural Machine Translation in Linear Time


Mar 15, 2017
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, Koray Kavukcuoglu

* 9 pages 

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Video Pixel Networks


Oct 03, 2016
Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

* 16 pages 

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WaveNet: A Generative Model for Raw Audio


Sep 19, 2016
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu


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Pixel Recurrent Neural Networks


Aug 19, 2016
Aaron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu


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Conditional Image Generation with PixelCNN Decoders


Jun 18, 2016
Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu


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