Sean C. Smithson

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #17,648 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #11,100 of 21,575 by trust here, #17,757 by citations

Whom Sean C. Smithson trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Graves
6. Ilya Sutskever
7. L. Eon Bottou
8. James Bergstra
9. Diederik P. Kingma
10. Tobias Domhan

Who trusts Sean C. Smithson overall

1. Andrés Camero
2. Dimitrios Stamoulis
3. Ermao Cai
4. Jamal Toutouh
5. Da-Cheng Juan
6. Enrique Alba
7. Diana Marculescu

Papers from Sean C. Smithson's perspective

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

Their papers

• Neural networks designing neural networks: Multi-objective hyper-parameter optimization (2016) — 104 citations