Gonçalo M. Correia
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #18,250 of 35,345 by trust here, #16,166 by citations
- Natural Language Processing — 17 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Model Architectures — 10 citations into it; #1,318 of 2,278 by trust here, #1,475 by citations
Whom Gonçalo M. Correia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- André F. T. Martins
- Dzmitry Bahdanau
- Rico Sennrich
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Thang Luong
- Kyunghyun Cho
- Ashish Vaswani
Who trusts Gonçalo M. Correia overall
- Derya Soydaner
- William Fedus
- Quentin Fournier
- Zhiqing Sun
- Simeng Sun
- Joris Baan
- Hoagy Cunningham
- Andrew Jaegle
- Chulhee Yun
- Fahad Shamshad
Papers from Gonçalo M. Correia's perspective
Ordered by how strongly the researchers Gonçalo M. Correia trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Adaptively Sparse Transformers (2019) — 304 citations