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Representation Learning with Contrastive Predictive Coding.

Aäron van den Oord, Yazhe Li, Oriol Vinyals: Representation Learning with Contrastive Predictive Coding. CoRR abs/1807.03748 (2018)

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The challenge of realistic music generation: modelling raw audio at scale.

Sander Dieleman, Aäron van den Oord, Karen Simonyan: The challenge of realistic music generation: modelling raw audio at scale. CoRR abs/1806.10474 (2018)

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Associative Compression Networks for Representation Learning.

Alex Graves, Jacob Menick, Aäron van den Oord: Associative Compression Networks for Representation Learning. CoRR abs/1804.02476 (2018)

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Efficient Neural Audio Synthesis.

Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu: Efficient Neural Audio Synthesis....

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Adversarial Risk and the Dangers of Evaluating Against Weak Attacks.

Jonathan Uesato, Brendan O'Donoghue, Aäron van den Oord, Pushmeet Kohli: Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. CoRR abs/1802.05666 (2018)

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The challenge of realistic music generation: modelling raw audio at scale.

Sander Dieleman, Aäron van den Oord, Karen Simonyan: The challenge of realistic music generation: modelling raw audio at scale. NeurIPS 2018: 8000-8010

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Adversarial Risk and the Dangers of Evaluating Against Weak Attacks.

Jonathan Uesato, Brendan O'Donoghue, Pushmeet Kohli, Aäron van den Oord: Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. ICML 2018: 5032-5041

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Parallel WaveNet: Fast High-Fidelity Speech Synthesis.

Aäron 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...

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Efficient Neural Audio Synthesis.

Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu: Efficient Neural Audio Synthesis....

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Few-shot Autoregressive Density Estimation: Towards Learning to Learn...

Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas: Few-shot Autoregressive Density Estimation: Towards Learning to Learn...

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Temporal Modeling Using Dilated Convolution and Gating for...

Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara N. Sainath, Anshuman Tripathi, Aäron van den Oord, Oriol Vinyals: Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. ICASSP...

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Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture...

Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre: Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. Int. J. Comput....

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

Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters: Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder. CoRR abs/1910.06464...

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Shaping Belief States with Generative Environment Models for RL.

Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord: Shaping Belief States with Generative Environment Models for RL. CoRR abs/1906.09237 (2019)

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

Ali Razavi, Aäron van den Oord, Oriol Vinyals: Generating Diverse High-Fidelity Images with VQ-VAE-2. CoRR abs/1906.00446 (2019)

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Data-Efficient Image Recognition with Contrastive Predictive Coding.

Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord: Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR...

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On Variational Bounds of Mutual Information.

Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker: On Variational Bounds of Mutual Information. CoRR abs/1905.06922 (2019)

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Wasserstein Dependency Measure for Representation Learning.

Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet: Wasserstein Dependency Measure for Representation Learning. CoRR abs/1903.11780 (2019)

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Unsupervised speech representation learning using WaveNet autoencoders.

Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord: Unsupervised speech representation learning using WaveNet autoencoders. CoRR abs/1901.08810 (2019)

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Preventing Posterior Collapse with delta-VAEs.

Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals: Preventing Posterior Collapse with delta-VAEs. CoRR abs/1901.03416 (2019)

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Wasserstein Dependency Measure for Representation Learning.

Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet: Wasserstein Dependency Measure for Representation Learning. NeurIPS 2019: 15578-15588

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

Ali Razavi, Aäron van den Oord, Oriol Vinyals: Generating Diverse High-Fidelity Images with VQ-VAE-2. NeurIPS 2019: 14837-14847

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Shaping Belief States with Generative Environment Models for RL.

Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord: Shaping Belief States with Generative Environment Models for RL. NeurIPS 2019: 13475-13487

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On Variational Bounds of Mutual Information.

Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker: On Variational Bounds of Mutual Information. ICML 2019: 5171-5180

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Generating Diverse High-Resolution Images with VQ-VAE.

Ali Razavi, Aäron van den Oord, Oriol Vinyals: Generating Diverse High-Resolution Images with VQ-VAE. DGS@ICLR 2019

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Preventing Posterior Collapse with delta-VAEs.

Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals: Preventing Posterior Collapse with delta-VAEs. ICLR (Poster) 2019

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Sample Efficient Adaptive Text-to-Speech.

Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando...

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

Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters: Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder. ICASSP 2019: 735-739

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Unsupervised Speech Representation Learning Using WaveNet Autoencoders.

Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord: Unsupervised Speech Representation Learning Using WaveNet Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2041-2053 (2019)

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Are we done with ImageNet?

Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord: Are we done with ImageNet? CoRR abs/2006.07159 (2020)

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Learning Robust and Multilingual Speech Representations.

Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord: Learning Robust and Multilingual Speech Representations. CoRR abs/2001.11128 (2020)

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Contrastive Predictive Coding of Audio with an Adversary.

Luyu Wang, Kazuya Kawakami, Aäron van den Oord: Contrastive Predictive Coding of Audio with an Adversary. INTERSPEECH 2020: 826-830

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Learning Robust and Multilingual Speech Representations.

Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord: Learning Robust and Multilingual Speech Representations. EMNLP (Findings) 2020: 1182-1192

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Step-unrolled Denoising Autoencoders for Text Generation.

Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord: Step-unrolled Denoising Autoencoders for Text Generation. CoRR abs/2112.06749 (2021)

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Towards Learning Universal Audio Representations.

Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord: Towards Learning Universal Audio...

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Vector Quantized Models for Planning.

Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals: Vector Quantized Models for Planning. CoRR abs/2106.04615 (2021)

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Divide and Contrast: Self-supervised Learning from Uncurated Data.

Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord: Divide and Contrast: Self-supervised Learning from Uncurated Data. CoRR abs/2105.08054 (2021)

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Multimodal Self-Supervised Learning of General Audio Representations.

Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord: Multimodal Self-Supervised Learning of General Audio Representations. CoRR abs/2104.12807 (2021)

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Broaden Your Views for Self-Supervised Video Learning.

Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den...

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Efficient Visual Pretraining with Contrastive Detection.

Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira: Efficient Visual Pretraining with Contrastive Detection. CoRR abs/2103.10957 (2021)

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Multi-Format Contrastive Learning of Audio Representations.

Luyu Wang, Aäron van den Oord: Multi-Format Contrastive Learning of Audio Representations. CoRR abs/2103.06508 (2021)

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Predicting Video with VQVAE.

Jacob Walker, Ali Razavi, Aäron van den Oord: Predicting Video with VQVAE. CoRR abs/2103.01950 (2021)

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Vector Quantized Models for Planning.

Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals: Vector Quantized Models for Planning. ICML 2021: 8302-8313

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Self-supervised Adversarial Robustness for the Low-label, High-data Regime.

Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli: Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR 2021

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Efficient Visual Pretraining with Contrastive Detection.

Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira: Efficient Visual Pretraining with Contrastive Detection. ICCV 2021: 10066-10076

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Divide and Contrast: Self-supervised Learning from Uncurated Data.

Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord: Divide and Contrast: Self-supervised Learning from Uncurated Data. ICCV 2021: 10043-10054

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Broaden Your Views for Self-Supervised Video Learning.

Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den...

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Step-unrolled Denoising Autoencoders for Text Generation.

Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord: Step-unrolled Denoising Autoencoders for Text Generation. ICLR 2022

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Towards Learning Universal Audio Representations.

Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord: Towards Learning Universal Audio...

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AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.

Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev,...

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