Alyssa Lees

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Natural Language Processing — 40 citations into it
• Large Language Models — 12 citations into it

Whom Alyssa Lees trusts overall

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

1. Jacob Devlin
2. Zeerak Talat
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Thomas Davidson
6. Alec Radford
7. Diederik P. Kingma
8. Ilya Sutskever
9. Linting Xue
10. Alex Krizhevsky

Who trusts Alyssa Lees overall

1. Hakan Inan

Papers from Alyssa Lees's perspective

Ordered by how strongly the researchers Alyssa Lees 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. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Language Models are Unsupervised Multitask Learners

Their papers

• A New Generation of Perspective API: Efficient Multilingual Character-level Transformers (2022) — 306 citations
• ReasonBERT: Pre-trained to Reason with Distant Supervision (2021) — 35 citations