Harvey Wu

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; #25,962 of 35,345 by trust here, #25,040 by citations
• Optimization & Training — 6 citations into it

Whom Harvey Wu trusts overall

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

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

Who trusts Harvey Wu overall

1. Marc-André Zöller
2. Matthias Feurer
3. Yi-Wei Chen
4. Radwa El Shawi
5. Marco F. Huber
6. Iddo Drori
7. Katharina Eggensperger
8. Qingquan Song
9. Mohamed Maher
10. Frank Hutter

Papers from Harvey Wu's perspective

Ordered by how strongly the researchers Harvey Wu 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. Practical Bayesian Optimization of Machine Learning Algorithms
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

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