David Silver

Computer Vision and Pattern Recognition · with Bagnell · 2008–2012

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #6,732 of 21,575 by trust here, #11,498 by citations
• Reinforcement Learning — 9 citations into it
• Aerospace Engineering — 8 citations into it; #1,126 of 6,421 by trust here, #2,509 by citations
• Artificial Intelligence — 8 citations into it
• Control and Systems Engineering — 6 citations into it; #2,138 of 8,257 by trust here, #2,890 by citations

Whom David Silver trusts overall

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

1. Andrew Y. Ng
2. D. Ferguson
3. Pieter Abbeel
4. Leo Breiman
5. Nathan D. Ratliff
6. Anthony Stentz
7. H. Sebastian Seung
8. J. Bagnell
9. Yoav Freund
10. Llew Mason

Who trusts David Silver overall

1. J. Bagnell
2. Jens Kober
3. Nathan D. Ratliff
4. Harish Chaandar Ravichandar
5. Stéphane Ross
6. Saurabh Arora
7. Zhifei Shao
8. Matthew Zucker
9. Jan Peters
10. Takayuki Osa

Papers from David Silver's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain (2010) — 183 citations
• Active learning from demonstration for robust autonomous navigation (2012) — 65 citations
• High Performance Outdoor Navigation from Overhead Data using Imitation Learning (2008) — 80 citations