← Authors

Aaron van den Oord

22 papers · 2013–2022 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (30) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (9) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ’Ž Century Club (22) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (82) πŸ”₯ Unstoppable (7)

Conferences

NIPS (8) ICLR (5) ICCV (3) ICML (3) EMNLP (1) INTERSPEECH (1) JMLR (1)

Top co-authors

Oriol Vinyals (8) Benjamin Schrauwen (3) Sherjil Ozair (3) Luyu Wang (3) Ali Razavi (3) Koray Kavukcuoglu (3) Nal Kalchbrenner (2) Olivier J. HΓ©naff (2) Kazuya Kawakami (2) Nando de Freitas (2)

Keywords

self-supervised learning (5) representation learning (5) autoregressive model (4) contrastive learning (3) unsupervised learning (3) vector quantization (3) image generation (2) mutual information (2) generative model (2) variational autoencoder (2) model-based reinforcement learning (2) expectation maximization (1) collaborative filtering (1) object detection (1) variational inference (1) density estimation (1) sparse coding (1) image denoising (1) music recommendation (1) feature extraction (1)

Papers

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