Andrew Mattarella-Micke

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Natural Language Processing — 55 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Large Language Models — 10 citations into it
• Information Systems — 5 citations into it

Whom Andrew Mattarella-Micke trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Kyunghyun Cho
6. Alex Krizhevsky
7. Ashish Vaswani
8. Yann LeCun
9. Kaiming He
10. Alex Graves

Papers from Andrew Mattarella-Micke's perspective

Ordered by how strongly the researchers Andrew Mattarella-Micke 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Exploring and Predicting Transferability across NLP Tasks (2020) — 190 citations
• Do Long-Range Language Models Actually Use Long-Range Context? (2021) — 107 citations
• Causal Learning (2012)