Elaine Schaertl Short

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Reinforcement Learning — 14 citations into it
• Control and Systems Engineering — 6 citations into it
• Human-Computer Interaction — 6 citations into it
• Cognitive Neuroscience — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Elaine Schaertl Short trusts overall

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

1. Ruohan Zhang
2. Stefan Schaal
3. Diederik P. Kingma
4. Jangwon Lee
5. Faraz Torabi
6. Richard S. Sutton
7. E. Todorov
8. Geoffrey E. Hinton
9. O. Le Meur
10. Ahmed Hussain Qureshi

Papers from Elaine Schaertl Short's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. The Arcade Learning Environment: An Evaluation Platform for General Agents
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. MuJoCo: A physics engine for model-based control
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Efficiently Guiding Imitation Learning Algorithms with Human Gaze (2020) — 19 citations