Ricardo Vilalta

Artificial Intelligence · 2002–2017

A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #5,491 of 35,345 by trust here, #6,614 by citations
• Representation & Self-Supervised Learning — 12 citations into it
• Statistics and Probability — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Information Systems — 6 citations into it

Whom Ricardo Vilalta trusts overall

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

1. Leo Breiman
2. Christophe G. Giraud-Carrier
3. Ron Kohavi
4. Paul E. Utgoff
5. Pavel Brazdil
6. Sebastian Thrun
7. J. Urgen Schmidhuber
8. R. Caruana
9. Pedro M. Domingos
10. João Gama

Who trusts Ricardo Vilalta overall

1. Frank Hutter
2. Han-Jia Ye
3. Matthias Feurer
4. K. Smith‐Miles
5. Wenbin Li
6. Martin Wistuba
7. Zhaobai Zhong
8. Christiane Lemke
9. Nazneen Rajani
10. Chris J. Thornton

Papers from Ricardo Vilalta's perspective

Ordered by how strongly the researchers Ricardo Vilalta trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Multitask Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Reinforcement Learning: An Introduction
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Perspective View and Survey of Meta-Learning (2002) — 1,301 citations
• Introduction to the Special Issue on Meta-Learning (2004) — 184 citations
• Encyclopedia of Machine Learning and Data Mining (2017) — 452 citations
• Meta-Learning (2009) — 212 citations
• Using Meta-Learning to Support Data Mining (2004) — 393 citations
• Critical event prediction for proactive management in large-scale computer clusters (2003) — 305 citations