José Bobes-Bascarán

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Safety, Robustness & Interpretability — 20 citations into it

Whom José Bobes-Bascarán trusts overall

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

1. Burr Settles
2. Dana Angluin
3. Geoffrey E. Hinton
4. Yoshua Bengio

Papers from José Bobes-Bascarán's perspective

Ordered by how strongly the researchers José Bobes-Bascarán 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Curriculum learning
7. Long Short-Term Memory
8. Visualizing and Understanding Convolutional Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Human-in-the-loop machine learning: a state of the art (2022) — 865 citations