Stefan Dlugolinsky

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it

Whom Stefan Dlugolinsky trusts overall

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

1. Radford M. Neal
2. Koby Crammer
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Yann LeCun
6. Kaiming He
7. Yoshua Bengio
8. Ronan Collobert
9. Alex Krizhevsky
10. Andrew Zisserman

Who trusts Stefan Dlugolinsky overall

1. Mackenzie W. Mathis
2. Thorsten Hoeser

Papers from Stefan Dlugolinsky's perspective

Ordered by how strongly the researchers Stefan Dlugolinsky 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. Gradient-based learning applied to document recognition
4. Going deeper with convolutions
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey (2019) — 759 citations