Tiago Pimentel
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 7 papers; trusts 121 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it; #9,243 of 35,345 by trust here, #10,430 by citations
- Natural Language Processing — 79 citations into it; #4,485 of 5,688 by trust here, #2,846 by citations
- Computer Vision and Pattern Recognition — 28 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Evaluation & Benchmarks — 20 citations into it; #2,144 of 3,147 by trust here, #2,704 by citations
- Large Language Models — 19 citations into it
- Safety, Robustness & Interpretability — 10 citations into it
- Information Theory — 9 citations into it; #168 of 196 by trust here, #67 by citations
Whom Tiago Pimentel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- John Hewitt
- Geoffrey E. Hinton
- Jacob Devlin
- Diederik P. Kingma
- Jorma Rissanen
- Alex Krizhevsky
- Ilya Sutskever
- Piotr Bojanowski
- Tomas Mikolov
Who trusts Tiago Pimentel overall
- Yonatan Belinkov
- Yichu Zhou
- Steven Cao
- John Hewitt
- Ryan Teehan
- Koustuv Sinha
- Xikun Zhang
- Ryan Cotterell
- Zining Zhu
- Mycal Tucker
Papers from Tiago Pimentel's perspective
Ordered by how strongly the researchers Tiago Pimentel trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Information-Theoretic Probing for Linguistic Structure (2020) — 280 citations
- Pareto Probing: Trading-Off Accuracy and Complexity (2020) — 71 citations
- A Tale of a Probe and a Parser (2020) — 63 citations
- A Bayesian Framework for Information-Theoretic Probing (2021) — 27 citations
- Typical Decoding for Natural Language Generation (2022) — 52 citations
- SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020) — 90 citations
- Unsupervised and Scalable Algorithm for Learning Node Representations (2017) — 20 citations