David M. Beskow

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 464 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Information Systems — 22 citations into it
• Sociology and Political Science — 20 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Computer Networks and Communications — 9 citations into it

Whom David M. Beskow trusts overall

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

1. David G. Lowe
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Emilio Ferrara
6. Kaiming He
7. Ilya Sutskever
8. Ronan Collobert
9. Yoshua Bengio
10. Christian Szegedy

Papers from David M. Beskow's perspective

Ordered by how strongly the researchers David M. Beskow 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Finding and Characterizing Information Warfare Campaigns (2020) — 10 citations