Aurora Trinidad Ramirez Pozo

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 — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Aurora Trinidad Ramirez Pozo trusts overall

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

1. Alex Krizhevsky
2. James Bergstra
3. Diederik P. Kingma
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Loshchilov
7. Geoffrey E. Hinton
8. Jimmy Ba
9. L. Eon Bottou
10. Yanan Sun

Papers from Aurora Trinidad Ramirez Pozo's perspective

Ordered by how strongly the researchers Aurora Trinidad Ramirez Pozo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evolving convolutional neural networks through grammatical evolution (2019) — 7 citations