Doshi-Velez

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Reinforcement Learning — 6 citations into it

Whom Doshi-Velez trusts overall

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

1. Lawrence R. Rabiner
2. Malcolm J. A. Strens
3. Steven L. Scott
4. Joelle Pineau
5. Michael L. Littman
6. Pascal Poupart
7. Ben J. A. Kröse
8. Geoffrey J. Gordon
9. Craig Boutilier
10. Richard S. Sutton

Papers from Doshi-Velez's perspective

Ordered by how strongly the researchers Doshi-Velez 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Reinforcement Learning with Limited Reinforcement : Using Bayes Risk for Active Learning in POMDPs Finale (2012)