Jader Abreu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 7 citations into it

Whom Jader Abreu trusts overall

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

1. Dzmitry Bahdanau
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. Yoon Kim
6. Kyunghyun Cho
7. Sergey Ioffe
8. Tin Kam Ho
9. Alex Krizhevsky
10. Ilya Sutskever

Papers from Jader Abreu's perspective

Ordered by how strongly the researchers Jader Abreu 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. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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

• Hierarchical Attentional Hybrid Neural Networks for Document Classification (2019) — 39 citations