Ben Laurie

Signal Processing · 2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 34 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it

Whom Ben Laurie trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
2. Joon Son Chung (in Computer Vision and Pattern Recognition)
3. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Ben Laurie's perspective

Ordered by how strongly the researchers Ben Laurie trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
7. WaveNet: A Generative Model for Raw Audio
8. Matching Networks for One Shot Learning
9. DRAW: A Recurrent Neural Network For Image Generation
10. Pixel Recurrent Neural Networks

Their papers

• Sample Efficient Adaptive Text-to-Speech (2018) — 162 citations
• Large-Scale Visual Speech Recognition (2018) — 172 citations