Raquel Fernández

Artificial Intelligence · with Pezzelle · 2019

A researcher in the Science corpus: 1 paper; trusts 201 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Natural Language Processing — 7 citations into it
• Multimodal Learning — 6 citations into it

Whom Raquel Fernández trusts overall

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

1. Kaiming He
2. Margaret Mitchell
3. Sepp Hochreiter
4. Dekang Lin
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Alex Krizhevsky
8. Justin Johnson
9. Ross B. Girshick
10. J. Urgen Schmidhuber

Papers from Raquel Fernández's perspective

Ordered by how strongly the researchers Raquel Fernández 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts (2019) — 18 citations