Malcolm Reynolds

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 6 papers; trusts 64 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 192 citations into it; #32,789 of 35,345 by trust here, #2,401 by citations
• Computer Vision and Pattern Recognition — 157 citations into it
• Reinforcement Learning — 28 citations into it
• Generative Models — 15 citations into it
• Electrical and Electronic Engineering — 7 citations into it; #15,767 of 16,539 by trust here, #1,897 by citations

Whom Malcolm Reynolds trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Diederik P. Kingma
7. Yann LeCun
8. Kenneth O. Stanley
9. Ronald J. Williams
10. Richard S. Sutton

Who trusts Malcolm Reynolds overall

1. J. Urgen Schmidhuber
2. Brenden M. Lake
3. Yuxi Li
4. Jack W. Rae
5. Jeff Clune
6. Anirudh Goyal
7. Emilio Parisotto
8. Yoshua Bengio
9. Ruslan Salakhutdinov

Papers from Malcolm Reynolds's perspective

Ordered by how strongly the researchers Malcolm Reynolds 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. GENERATIVE ADVERSARIAL NETS
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Hybrid computing using a neural network with dynamic external memory (2016) — 1,765 citations
• Unsupervised Predictive Memory in a Goal-Directed Agent (2018) — 206 citations
• Unsupervised Learning of Object Keypoints for Perception and Control (2019) — 218 citations
• Convolution by Evolution: Differentiable Pattern Producing Networks (2016) — 106 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
• Flamingo: a Visual Language Model for Few-Shot Learning (2022) — 6,220 citations