Mycal Tucker

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 11 citations into it

Whom Mycal Tucker trusts overall

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

1. John Hewitt
2. Jacob Devlin
3. Mitchell P. Marcus
4. Rowan Hall Maudslay
5. Diederik P. Kingma
6. Tiago Pimentel
7. Christopher D. Manning
8. Pranav Rajpurkar
9. Yoshua Bengio
10. Alexis Conneau

Papers from Mycal Tucker's perspective

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

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

Their papers

• What if This Modified That? Syntactic Interventions with Counterfactual Embeddings (2021) — 51 citations