Nick Erickson

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #33,859 of 35,345 by trust here, #21,878 by citations
• Optimization & Training — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Nick Erickson trusts overall

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

1. Matthias Feurer
2. Leo Breiman
3. Geoffrey E. Hinton
4. Frank Hutter
5. David Hilton Wolpert
6. Diederik P. Kingma
7. Yoav Freund
8. Yoshua Bengio
9. Alex Krizhevsky
10. Thomas G. Dietterich

Who trusts Nick Erickson overall

1. Noah Hollmann
2. Marius Thomas Lindauer
3. Frank Hutter
4. Bernd Bischl
5. Rasool Fakoor
6. Gowthami Somepalli
7. Samuel G. Müller
8. Bochao Wang

Papers from Nick Erickson's perspective

Ordered by how strongly the researchers Nick Erickson 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
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. Going deeper with convolutions

Their papers

• AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data (2020) — 995 citations
• Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation (2020) — 63 citations