Charlie Deck

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Reinforcement Learning — 41 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Charlie Deck trusts overall

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

1. J. Urgen Schmidhuber
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Alex Graves
6. Richard S. Sutton
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Dzmitry Bahdanau

Papers from Charlie Deck's perspective

Ordered by how strongly the researchers Charlie Deck 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. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Asynchronous Methods for Deep Reinforcement Learning
9. Human-level control through deep reinforcement learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Open-Ended Learning Leads to Generally Capable Agents (2021) — 230 citations
• Generalization of Reinforcement Learners with Working and Episodic Memory (2019) — 74 citations