Angel Daza

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #25,238 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 21 citations into it; #4,180 of 5,688 by trust here, #5,593 by citations
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Angel Daza trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Oriol Vinyals
6. Dzmitry Bahdanau
7. Alex Krizhevsky
8. Tomas Mikolov
9. Jimmy Ba
10. Kyunghyun Cho

Who trusts Angel Daza overall

1. Najoung Kim
2. Tal Linzen

Papers from Angel Daza's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A Sequence-to-Sequence Model for Semantic Role Labeling (2018) — 22 citations