Ethan Stump

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #25,464 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #15,603 of 21,575 by trust here, #20,756 by citations

Whom Ethan Stump trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Sergey Levine
7. Jia Deng
8. Brian Chu
9. Ilya Sutskever
10. Kaiming He

Who trusts Ethan Stump overall

1. Abel S. Zacarias
2. Luís A. Alexandre
3. Nathan Michael

Papers from Ethan Stump's perspective

Ordered by how strongly the researchers Ethan Stump 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Reduction of catastrophic forgetting with transfer learning and ternary output codes (2015) — 13 citations
• Workspaces of Cable-Actuated Parallel Manipulators (2006) — 146 citations
• Intelligent Autonomous Things on the Battlefield (2019) — 12 citations