T. Bolton

Artificial Intelligence · with Zanna · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Global and Planetary Change — 7 citations into it
• Oceanography — 7 citations into it
• Atmospheric Science — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom T. Bolton trusts overall

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

1. Diederik P. Kingma
2. PierGianLuca Porta-Mana
3. Julia Ling
4. Pierre Gentine
5. Jimmy Ba
6. L. Zanna
7. Karen Simonyan
8. Robert Hallberg
9. Kaiming He
10. Alex Krizhevsky

Papers from T. Bolton's perspective

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

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

Their papers

• Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization (2018) — 353 citations