Rolando Estrada

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Meta & Continual Learning — 26 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 14 citations into it
• Cognitive Neuroscience — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Reinforcement Learning — 7 citations into it

Whom Rolando Estrada trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Kaiming He
6. Diederik P. Kingma
7. Volodymyr Mnih
8. Alex Graves
9. L. Eon Bottou
10. Ilya Sutskever

Papers from Rolando Estrada's perspective

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

Their papers

• Continual Learning with Deep Artificial Neurons (2020) — 9 citations
• A Scalable Approach to Multi-Context Continual Learning via Lifelong Skill Encoding (2018)
• Self-Net: Lifelong Learning via Continual Self-Modeling (2018) — 18 citations