Jeffrey De Fauw

3 papers · 2016–2020 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICML (1)

Top co-authors

Sander Dieleman (2) S. M. Ali Eslami (1) Lucas Smaira (1) Simon Kohl (1) Andrew Zisserman (1) Koray Kavukcuoglu (1) Danilo Jimenez Rezende (1) Rosalia Schneider (1) Relja Arandjelović (1) Adria Recasens (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (2) Learning Types · Machine Learning (2) Computer Vision (1) Analysis (1) Application Areas (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1) Models (1) Techniques (1)

Keywords

representation learning (1) semantic segmentation (1) image segmentation (1) uncertainty quantification (1) embedding learning (1) self-supervised learning (1) medical imaging (1) data augmentation (1) multimodal learning (1) audio-visual learning (1) parameter sharing (1) generative model (1) probabilistic model (1) convolutional neural network (1) variational autoencoder (1) video representation (1) conditional variational autoencoder (1) rotational symmetry (1)

Papers

Self-Supervised MultiModal Versatile Networks NeurIPS 2020 A Probabilistic U-Net for Segmentation of Ambiguous Images NeurIPS 2018 Exploiting Cyclic Symmetry in Convolutional Neural Networks ICML 2016