Javier Lopez-Contreras

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Natural Language Processing — 14 citations into it

Whom Javier Lopez-Contreras trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Sumit Gulwani
4. Oriol Vinyals
5. Diederik P. Kingma
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Ruslan Salakhutdinov
9. Yann LeCun
10. Ilya Sutskever

Papers from Javier Lopez-Contreras's perspective

Ordered by how strongly the researchers Javier Lopez-Contreras 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A large-scale benchmark for few-shot program induction and synthesis (2021) — 20 citations