Chris C. Holmes

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #17,794 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 37 citations into it
• Neural Architecture Search & AutoML — 18 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 16 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Privacy & Security — 8 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Chris C. Holmes trusts overall

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

1. David J. Wu
2. Craig Gentry
3. Junfeng Fan
4. Robert Tibshirani
5. Geoffrey E. Hinton
6. Eric R. Ziegel
7. Thore Graepel
8. Andrew Y. Ng
9. Alex Krizhevsky
10. Barret Zoph

Who trusts Chris C. Holmes overall

1. Ehsan Hesamifard

Papers from Chris C. Holmes's perspective

Ordered by how strongly the researchers Chris C. Holmes 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. Going deeper with convolutions
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Encrypted Accelerated Least Squares Regression (2017) — 17 citations
• Neural Ensemble Search for Performant and Calibrated Predictions (2020) — 41 citations
• Encrypted statistical machine learning: new privacy preserving methods (2015) — 68 citations