T. Doster

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 7 citations into it

Whom T. Doster trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Ilya Sutskever
5. Kaiming He
6. Yann LeCun
7. Matthew D. Zeiler
8. Nitish Srivastava
9. Alex Graves
10. Xavier Glorot

Papers from T. Doster's perspective

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

Their papers

• Gradual DropIn of Layers to Train Very Deep Neural Networks (2015) — 37 citations