Andrew Jones

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #18,833 of 35,345 by trust here, #30,347 by citations
• Reinforcement Learning — 8 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Andrew Jones trusts overall

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

1. Jonathan S. Rosenfeld
2. David Silver
3. Marcus Hutter
4. Amir Rosenfeld
5. Jared Kaplan
6. Ralf Herbrich
7. Emma Strubell
8. Thomas W. Anthony
9. Yonatan Belinkov
10. Thomas Hubert

Who trusts Andrew Jones overall

1. Charlie Victor Snell
2. Jaehoon Lee
3. Kelvin Xu
4. Aviral Kumar

Papers from Andrew Jones's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Scaling Scaling Laws with Board Games (2021) — 64 citations