Isabel Trancoso

Natural Language Processing · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 71 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 62 citations into it; #2,664 of 5,688 by trust here, #1,704 by citations
• Artificial Intelligence — 58 citations into it; #5,063 of 35,345 by trust here, #5,390 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #18,748 of 21,575 by trust here, #17,757 by citations
• Model Architectures — 19 citations into it
• Representation & Self-Supervised Learning — 16 citations into it; #951 of 3,145 by trust here, #774 by citations

Whom Isabel Trancoso trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Philipp Koehn
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Tomas Mikolov
7. Alex Graves
8. J. Urgen Schmidhuber
9. Dzmitry Bahdanau
10. Diederik P. Kingma

Who trusts Isabel Trancoso overall

1. Yoav Goldberg
2. Xuezhe Ma
3. Chris Dyer
4. Yonatan Belinkov
5. Edresson Casanova
6. Marta Ruiz Costa-jussà
7. Ekaterina Garmash
8. Wang Ling
9. Rico Sennrich
10. Diego Marcheggiani

Papers from Isabel Trancoso's perspective

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

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

Their papers

• Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation (2015) — 648 citations
• Two/Too Simple Adaptations of Word2Vec for Syntax Problems (2015) — 404 citations
• Not All Contexts Are Created Equal: Better Word Representations with Variable Attention (2015) — 142 citations
• Character-based Neural Machine Translation (2015) — 71 citations
• Evaluation of Deep Learning Approaches to Text-to-Speech Systems for European Portuguese (2020) — 4 citations