Cameron S. Allen

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Reinforcement Learning — 24 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Control and Systems Engineering — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Cameron S. Allen trusts overall

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

1. Pieter Abbeel
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Sergey Levine
5. Diederik P. Kingma
6. Amy Zhang
7. Pulkit Agrawal
8. Yoshua Bengio
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Papers from Cameron S. Allen's perspective

Ordered by how strongly the researchers Cameron S. Allen 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Markov State Abstractions for Deep Reinforcement Learning (2021) — 62 citations