Kyle Hundman

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Kyle Hundman trusts overall

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

1. Alexander Lavin
2. Subutai Ahmad
3. Alex Graves
4. Bernhard Schölkopf
5. Adrian Taylor
6. Geoffrey E. Hinton
7. J. Urgen Schmidhuber
8. Yann LeCun
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Kyle Hundman overall

1. Donghao Luo
2. Ailin Deng
3. Zhaoyi Xu
4. Haixu Wu
5. Tian Zhou
6. Zhijian Xu
7. Shreshth Tuli
8. Sebastian Schmidl
9. Ahmed Abdulaal
10. Andrew Cook

Papers from Kyle Hundman's perspective

Ordered by how strongly the researchers Kyle Hundman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Et al

Their papers

• Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018) — 1,881 citations