José Bento

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #18,019 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Generative Models — 12 citations into it

Whom José Bento trusts overall

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

1. Sanjoy Dasgupta
2. Dana Angluin
3. Jost Tobias Springenberg
4. Burr Settles
5. Yann LeCun
6. Alec Radford
7. Alex Smola
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Yoshua Bengio

Who trusts José Bento overall

1. Matthew Riemer
2. Paola Cascante-Bonilla
3. Jie Gui
4. Pengzhen Ren
5. Yezheng Liu

Papers from José Bento's perspective

Ordered by how strongly the researchers José Bento 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generative Adversarial Active Learning (2017) — 205 citations