Erik Jones

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Erik Jones trusts overall

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

1. Ran El-Yaniv
2. Kaiming He
3. Yonatan Geifman
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Peter L. Bartlett
9. Yann LeCun
10. Yarin Gal

Who trusts Erik Jones overall

1. Ananya Kumar
2. Tengyu Ma

Papers from Erik Jones's perspective

Ordered by how strongly the researchers Erik 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Selective Classification Can Magnify Disparities Across Groups (2020) — 53 citations
• Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet (2018) — 702 citations