Benjamin Swanson

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Reinforcement Learning — 44 citations into it
• Control and Systems Engineering — 18 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Benjamin Swanson trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. Andrew Barto
4. Geoffrey E. Hinton
5. Chelsea Finn
6. Lerrel Pinto

Papers from Benjamin Swanson's perspective

Ordered by how strongly the researchers Benjamin Swanson 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Multitask Learning
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale (2021) — 331 citations