Sam Nolen

Artificial Intelligence · 2020

A researcher in the Science corpus: 3 papers; trusts 229 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #32,284 of 35,345 by trust here, #31,361 by citations
• Neural Architecture Search & AutoML — 41 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it; #19,851 of 21,575 by trust here, #19,766 by citations
• Evaluation & Benchmarks — 14 citations into it
• Model Architectures — 11 citations into it
• Materials Chemistry — 9 citations into it
• Optimization & Training — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Sam Nolen trusts overall

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

1. Barret Zoph
2. Quoc V. Le
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Yoshua Bengio
8. Frank Hutter
9. Willie Neiswanger
10. Kaiming He

Who trusts Sam Nolen overall

1. Colin White
2. Willie Neiswanger
3. Yash Savani

Papers from Sam Nolen's perspective

Ordered by how strongly the researchers Sam Nolen 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Study on Encodings for Neural Architecture Search (2020) — 85 citations
• Local Search is State of the Art for Neural Architecture Search Benchmarks (2020) — 13 citations
• Local Search is State of the Art for NAS Benchmarks (2020) — 30 citations