C. Drummond

Artificial Intelligence · with Holte · 2003–2011

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #5,878 of 35,345 by trust here, #17,110 by citations
• Reinforcement Learning — 7 citations into it
• Statistical Learning Theory — 6 citations into it

Whom C. Drummond trusts overall

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

1. Richard S. Sutton
2. Christopher J. C. H. Watkins
3. Pedro M. Domingos
4. Andrew Barto
5. Peter S. Dayan
6. Andrew P. Bradley
7. Gary M. Weiss
8. J. Ross Quinlan
9. Peter Clark
10. Foster J. Provost

Who trusts C. Drummond overall

1. Alessandro Lazaric
2. Matthew E. Taylor
3. Qi Dong
4. Gary M. Weiss
5. J. Dubois
6. Andrea Dal Pozzolo
7. Haibo He
8. Nitesh V. Chawla
9. Irene V. Pasquetto
10. Mateusz Buda

Papers from C. Drummond's perspective

Ordered by how strongly the researchers C. Drummond 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks (2011) — 108 citations
• Replicability is not Reproducibility:Nor is it Good Science (2009) — 296 citations
• Cost curves: An improved method for visualizing classifier performance (2006) — 364 citations
• C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling (2003) — 1,123 citations