Luke B. Hewitt

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #33,693 of 35,345 by trust here, #15,866 by citations
• Computer Vision and Pattern Recognition — 32 citations into it
• Natural Language Processing — 23 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Luke B. Hewitt trusts overall

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

1. Geoffrey E. Hinton
2. Oriol Vinyals
3. Diederik P. Kingma
4. Sergey Bartunov
5. Chelsea Finn
6. Yoshua Bengio
7. Sachin Ravi
8. Karol Gregor
9. Alex Graves
10. Harrison Edwards

Who trusts Luke B. Hewitt overall

1. Marta Garnelo
2. Yaqing Wang
3. Jian Zhang
4. Dan Rosenbaum
5. Quanming Yao

Papers from Luke B. Hewitt's perspective

Ordered by how strongly the researchers Luke B. Hewitt 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Variational Homoencoder: Learning to learn high capacity generative models from few examples (2018) — 70 citations
• DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning (2020) — 266 citations
• DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning (2021) — 278 citations