Michael R. Lucas

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Natural Language Processing — 22 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Michael R. Lucas trusts overall

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

1. Diederik P. Kingma
2. Percy Liang

Papers from Michael R. Lucas's perspective

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

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

Their papers

• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2020) — 2,598 citations