Adam Sutton

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Natural Language Processing — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Adam Sutton trusts overall

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

1. George A. Miller
2. Jeffrey Pennington
3. James W. Pennebaker
4. Aylin Caliskan
5. Tolga Bolukbasi
6. Richard Socher
7. Christopher D. Manning
8. R. Booth
9. Joanna J. Bryson
10. Kasun Amarasinghe

Papers from Adam Sutton's perspective

Ordered by how strongly the researchers Adam Sutton 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GloVe: Global Vectors for Word Representation
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Biased Embeddings from Wild Data: Measuring, Understanding and Removing (2018) — 25 citations