Anthony Francis

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #22,727 of 35,345 by trust here, #21,316 by citations
• Reinforcement Learning — 13 citations into it

Whom Anthony Francis trusts overall

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

1. E. Todorov
2. Dean A. Pomerleau
3. Michael Garland
4. Nathan P. Koenig
5. Geoffrey E. Hinton
6. Yu Xiang
7. Richard S. Sutton
8. Atsushi Tatsuma
9. Alex Krizhevsky

Who trusts Anthony Francis overall

1. Minghua Liu

Papers from Anthony Francis's perspective

Ordered by how strongly the researchers Anthony Francis 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Human-level control through deep reinforcement learning
9. ImageNet Large Scale Visual Recognition Challenge
10. Reinforcement Learning: An Introduction

Their papers

• Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items (2022) — 785 citations
• Learning Navigation Behaviors End-to-End With AutoRL (2018) — 261 citations