Pedro Henrique Martins

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 78 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 157 citations into it; #28,894 of 35,345 by trust here, #8,810 by citations
• Natural Language Processing — 143 citations into it
• Evaluation & Benchmarks — 65 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it; #17,806 of 21,575 by trust here, #21,103 by citations
• Model Architectures — 27 citations into it; #1,864 of 2,278 by trust here, #2,243 by citations
• Large Language Models — 15 citations into it
• Management Science and Operations Research — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Pedro Henrique Martins trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Jimmy Ba
6. Alex Graves
7. Alec Radford
8. Alex Krizhevsky
9. R. Caruana
10. Yann LeCun

Who trusts Pedro Henrique Martins overall

1. Amirkeivan Mohtashami
2. Martin Jaggi

Papers from Pedro Henrique Martins's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
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

• The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
• \infty-former: Infinite Memory Transformer (2021) — 10 citations
• Joint Learning of Named Entity Recognition and Entity Linking (2019) — 103 citations