Luc Cary

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #34,130 of 35,345 by trust here, #19,018 by citations
• Natural Language Processing — 22 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Luc Cary trusts overall

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

1. Sumit Gulwani
2. Radford M. Neal
3. Geoffrey E. Hinton

Who trusts Luc Cary overall

1. Josh Tenenbaum

Papers from Luc Cary's perspective

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

1. Curriculum learning
2. ImageNet classification with deep convolutional neural networks
3. Human-level concept learning through probabilistic program induction
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Pattern Recognition and Machine Learning
6. Gradient-based learning applied to document recognition
7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• 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