Aaron van den Oord
22 papers · 2013–2022 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
π
Renaissance Researcher
(7)
π
Conference Polyglot
(7)
π
Academic Marathon
(9)
π
Triple Crown
π§¬
Topic Evolution
π
Century Club
(22)
π
Trend Setter
β‘
Prolific Year
(6)
π
Conference Pioneer
ποΈ
Keyword Collector
(82)
π₯
Unstoppable
(7)
Conferences
NIPS (8)
ICLR (5)
ICCV (3)
ICML (3)
EMNLP (1)
INTERSPEECH (1)
JMLR (1)
Top co-authors
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