Jake Bruce

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 185 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 140 citations into it; #20,007 of 35,345 by trust here, #3,128 by citations
• Computer Vision and Pattern Recognition — 100 citations into it; #4,023 of 21,575 by trust here, #2,304 by citations
• Reinforcement Learning — 78 citations into it
• Aerospace Engineering — 25 citations into it; #6,360 of 6,421 by trust here, #5,172 by citations
• Model Architectures — 21 citations into it
• Optimization & Training — 18 citations into it

Whom Jake Bruce trusts overall

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

1. Kaiming He
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. J. Urgen Schmidhuber
5. Richard S. Sutton
6. Diederik P. Kingma
7. Yoshua Bengio
8. Alex Krizhevsky
9. Volodymyr Mnih
10. Yann LeCun

Who trusts Jake Bruce overall

1. Dhruv Shah
2. Piotr Wojciech Mirowski
3. Saurabh Gupta
4. Sergey Levine
5. Blazej Osinski
6. David Schlangen
7. Arsalan Mousavian
8. Devendra Singh Chaplot
9. Varun Tolani
10. Yicong Hong

Papers from Jake Bruce's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments (2017) — 1,852 citations
• A Generalist Agent (2022) — 1,117 citations
• Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal (2018) — 37 citations
• One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay (2017) — 63 citations