Warren Mo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #25,961 of 35,345 by trust here, #25,040 by citations
• Optimization & Training — 6 citations into it

Whom Warren Mo trusts overall

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

1. Leo Breiman
2. Robert E. Schapire
3. David Hilton Wolpert
4. Frank Hutter
5. Randal S. Olson
6. James Bergstra
7. Corinna Cortes
8. Jasper Snoek
9. Jost Tobias Springenberg
10. Aaron Klein

Who trusts Warren Mo overall

1. Marc-André Zöller
2. Matthias Feurer
3. Radwa El Shawi
4. Yi-Wei Chen
5. Marco F. Huber

Papers from Warren Mo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Practical Bayesian Optimization of Machine Learning Algorithms
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Going deeper with convolutions
8. Deep Learning
9. ImageNet: A large-scale hierarchical image database
10. Support-Vector Networks

Their papers

• Autostacker: a compositional evolutionary learning system (2018) — 87 citations