Thomas L. Griffiths

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 108 citations into it
• Natural Language Processing — 29 citations into it
• Reinforcement Learning — 26 citations into it
• Robotics & Control — 5 citations into it

Whom Thomas L. Griffiths trusts overall

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

1. Geoffrey E. Hinton
2. Shunyu Yao
3. Yoshua Bengio
4. Diederik P. Kingma
5. Martin L. Puterman
6. Alex Krizhevsky
7. Ilya Sutskever
8. Morgan Quigley
9. Richard S. Sutton
10. Kaiming He

Papers from Thomas L. Griffiths's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Cognitive Architectures for Language Agents (2023) — 440 citations