Xavier Amatriain

Artificial Intelligence · with Chenaghlu · 2024

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 147 citations into it
• Large Language Models — 73 citations into it
• Natural Language Processing — 54 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it

Whom Xavier Amatriain trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Alec Radford
5. Diederik P. Kingma
6. Tomas Mikolov
7. Alex Krizhevsky

Papers from Xavier Amatriain's perspective

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

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

Their papers

• Large Language Models: A Survey (2024) — 1,030 citations