Clay Sheppard

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Clay Sheppard trusts overall

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

1. Christian Szegedy
2. Sergey Ioffe
3. Alex Krizhevsky
4. Kaiming He
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Xavier Glorot
8. Ilya Sutskever
9. Jia Deng
10. Suchet Bargoti

Who trusts Clay Sheppard overall

1. Muhammad Hammad Saleem
2. Guoxu Liu

Papers from Clay Sheppard's perspective

Ordered by how strongly the researchers Clay Sheppard 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Count: Fruit Counting Based on Deep Simulated Learning (2017) — 491 citations