Jason Deutsch

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Jason Deutsch trusts overall

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

1. Andrew L. Maas
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Enrico Zio
6. Dumitru Erhan
7. Jimmy Ba
8. Yann LeCun
9. Aaron C. Courville
10. Alex Krizhevsky

Who trusts Jason Deutsch overall

1. Shen Zhang
2. Cheng-Geng Huang
3. Shibo Zhang
4. Bingnan Wang
5. Ruqiang Yan
6. Hongzhong Huang
7. Thomas G. Habetler
8. Yanfeng Li

Papers from Jason Deutsch's perspective

Ordered by how strongly the researchers Jason Deutsch 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components (2018) — 417 citations