Amar Shah

Computer Vision and Pattern Recognition · with Kendall · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 28 citations into it; #25,571 of 35,345 by trust here, #11,327 by citations
• Reinforcement Learning — 27 citations into it; #2,093 of 2,242 by trust here, #1,253 by citations

Whom Amar Shah trusts overall

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

1. Alex Kendall
2. Sergey Levine

Who trusts Amar Shah overall

1. Adrian Weller

Papers from Amar Shah's perspective

Ordered by how strongly the researchers Amar Shah 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. Et al
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Reinforcement Learning: An Introduction
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Asynchronous Methods for Deep Reinforcement Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Learning to Drive in a Day (2018) — 800 citations
• Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning (2017) — 345 citations