Mariana Neves
Artificial Intelligence · 2008–2019
A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 147 citations into it; #18,425 of 35,345 by trust here, #4,190 by citations
- Natural Language Processing — 113 citations into it; #4,175 of 5,688 by trust here, #1,205 by citations
- Evaluation & Benchmarks — 55 citations into it; #2,188 of 3,147 by trust here, #831 by citations
- Molecular Biology — 44 citations into it; #10,103 of 17,773 by trust here, #8,791 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #15,707 of 21,575 by trust here, #14,822 by citations
- Representation & Self-Supervised Learning — 12 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Mariana Neves trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jörg Tiedemann
- Diederik P. Kingma
- Byron C. Wallace
- Yoshua Bengio
- Alison O'Mara-Eves
- Geoffrey E. Hinton
- Robert Leaman
- Tomas Mikolov
- Philipp Koehn
- Ilya Sutskever
Who trusts Mariana Neves overall
Papers from Mariana Neves's perspective
Ordered by how strongly the researchers Mariana Neves trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Findings of the 2016 Conference on Machine Translation (2016) — 838 citations
- Neural Domain Adaptation for Biomedical Question Answering (2017) — 121 citations
- An extensive review of tools for manual annotation of documents (2019) — 142 citations
- Overview of BioCreative II gene mention recognition (2008) — 541 citations
- Deep learning with word embeddings improves biomedical named entity recognition (2017) — 549 citations
- The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine (2016) — 56 citations
- RDF2PT: Generating Brazilian Portuguese Texts from RDF Data (2018) — 14 citations