Aaron van den Oord

23 papers · 2013–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+11 more ↓

🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

👥 Mega-Team · Squad 👑 Triple Crown 🧭 Keyword Pioneer 🔬 Deep Specialist (11) 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (104)

Venues

NeurIPS (9) ICLR (5) ICCV (3) ICML (3) EMNLP (1) Interspeech (1) JMLR (1)

Top co-authors

Oriol Vinyals (8) Koray Kavukcuoglu (3) Luyu Wang (3) Sherjil Ozair (3) Ali Razavi (3) Benjamin Schrauwen (3) Olivier J. Hénaff (2) Jean-Baptiste Alayrac (2) Nal Kalchbrenner (2) Yutian Chen (2)

Research topics

Deep Learning (15) Machine Learning (15) Models (12) Core Methods (9) Architectures (8) Learning Types · Machine Learning (8) Artificial Intelligence (6) Computer Vision (4) Core AI (4) Learning Types · Deep Learning (4) Generation (3) Learning Paradigms (3) Reinforcement Learning (2) Methods (2) Data Science & Analytics (1)

Keywords

self-supervised learning (6) representation learning (6) autoregressive model (5) variational autoencoder (3) image generation (3) vector quantization (3) unsupervised learning (3) contrastive learning (3) density estimation (2) model-based reinforcement learning (2) latent variable (2) generative model (2) mutual information (2) few-shot learning (2) gaussian mixture model (2) sparse coding (1) feature extraction (1) transfer learning (1) adversarial robustness (1) text generation (1)

Papers

Live Music Models NeurIPS 2025 Step-unrolled Denoising Autoencoders for Text Generation ICLR 2022 Broaden Your Views for Self-Supervised Video Learning ICCV 2021 Divide and Contrast: Self-Supervised Learning From Uncurated Data ICCV 2021 Efficient Visual Pretraining With Contrastive Detection ICCV 2021 Self-supervised Adversarial Robustness for the Low-label, High-data Regime ICLR 2021 Vector Quantized Models for Planning ICML 2021 Contrastive Predictive Coding of Audio with an Adversary Interspeech 2020 Learning Robust and Multilingual Speech Representations EMNLP 2020 Generating Diverse High-Fidelity Images with VQ-VAE-2 NeurIPS 2019 On Variational Bounds of Mutual Information ICML 2019 Preventing Posterior Collapse with delta-VAEs ICLR 2019 Sample Efficient Adaptive Text-to-Speech ICLR 2019 Shaping Belief States with Generative Environment Models for RL NeurIPS 2019 Wasserstein Dependency Measure for Representation Learning NeurIPS 2019 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 The challenge of realistic music generation: modelling raw audio at scale NeurIPS 2018 Neural Discrete Representation Learning NeurIPS 2017 Conditional Image Generation with PixelCNN Decoders NeurIPS 2016 Pixel Recurrent Neural Networks ICML 2016 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 The Student-t Mixture as a Natural Image Patch Prior with Application to Image Compression JMLR 2014 Deep content-based music recommendation NeurIPS 2013