Tim Allan Wheeler

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Tim Allan Wheeler trusts overall

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

1. Eric R. Ziegel
2. Pieter Abbeel
3. Dean A. Pomerleau
4. Tamer Basar
5. Martin Treiber
6. John Schulman
7. Stéphane Ross
8. Geoffrey E. Hinton
9. Andrew Y. Ng
10. Yoshua Bengio

Who trusts Tim Allan Wheeler overall

1. Charles Dawson
2. Nachiket Deo
3. Sicun Gao
4. Edouard Leurent
5. Chuchu Fan
6. Yunzhu Li
7. Mohan Manubhai Trivedi

Papers from Tim Allan Wheeler's perspective

Ordered by how strongly the researchers Tim Allan Wheeler 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. Reinforcement Learning: An Introduction
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Trust Region Policy Optimization (International Conference on Machine Learning)

Their papers

• Algorithms for Optimization (2019) — 414 citations
• Imitating driver behavior with generative adversarial networks (2017) — 448 citations