Robert P. Trevino

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Statistics and Probability — 31 citations into it
• Molecular Biology — 26 citations into it
• Computational Mechanics — 15 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Statistical Learning Theory — 7 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Robert P. Trevino trusts overall

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

1. Robert Tibshirani
2. Trevor J. Hastie
3. Huan Liu
4. Jerome H. Friedman
5. Feiping Nie
6. Geoffrey E. Hinton
7. Isabelle M Guyon
8. Hui Zou
9. J. Ross Quinlan

Papers from Robert P. Trevino's perspective

Ordered by how strongly the researchers Robert P. Trevino 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Regression Shrinkage and Selection via the Lasso
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Feature Selection (2019) — 1,437 citations
• Feature Selection (2016) — 1,161 citations