Diana Benavides Prado

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 121 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #33,087 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 43 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Meta & Continual Learning — 26 citations into it
• Statistical Learning Theory — 9 citations into it
• Reinforcement Learning — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Computational Mechanics — 5 citations into it

Whom Diana Benavides Prado trusts overall

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

1. Mark B. Ring
2. Yuhai Wu
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Vladimir Naumovich Vapnik
8. Geli Fei
9. Yann LeCun
10. Bernhard Schölkopf

Who trusts Diana Benavides Prado overall

1. Patricia J. Riddle
2. Sam Corbett-Davies
3. Razieh Nabi
4. Wenpeng Hu
5. Solon Barocas
6. Liangzu Peng
7. Amanda Coston

Papers from Diana Benavides Prado's perspective

Ordered by how strongly the researchers Diana Benavides Prado 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Theory for Knowledge Transfer in Continual Learning (2022) — 23 citations
• Towards Knowledgeable Supervised Lifelong Learning Systems (2020) — 11 citations
• A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (2018) — 339 citations