Shen-Shyang Ho

Artificial Intelligence · with Balasubramanian · 2014

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 — 54 citations into it
• Statistical Learning Theory — 19 citations into it
• Statistics and Probability — 16 citations into it

Whom Shen-Shyang Ho trusts overall

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

1. Vladimir G Vovk
2. Jerome H. Friedman
3. Burr Settles
4. Yoav Freund

Who trusts Shen-Shyang Ho overall

1. Lihua Lei
2. Maxime Cauchois
3. Eyke Hüllermeier

Papers from Shen-Shyang Ho's perspective

Ordered by how strongly the researchers Shen-Shyang Ho trusts endorse each paper. Same corpus, a different order for every researcher.

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

• Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications (2014) — 304 citations