Josep M. Porta

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 6 citations into it

Whom Josep M. Porta trusts overall

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

1. Joelle Pineau
2. Nikos A. Vlassis
3. Martin L. Puterman
4. Nicholas A. Roy
5. Andrew Y. Ng
6. Sebastian Thrun
7. Jonathan Baxter
8. Michael K. Pitt
9. Ryuichi Oka
10. Matthijs T. J. Spaan

Who trusts Josep M. Porta overall

1. Thomas Kollar
2. Kamyar Azizzadenesheli
3. Matthew D. Hoffman
4. Alan Fern
5. Nicholas A. Roy
6. Alessandro Lazaric
7. Nando de Freitas
8. Sriraam Natarajan

Papers from Josep M. Porta's perspective

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

Their papers

• Point-Based Value Iteration for Continuous POMDPs (2006) — 210 citations