Vijay Huddar

2016

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

Whom Vijay Huddar trusts overall

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

1. Finale Doshi-Velez
2. David M. Blei
3. David Roi Hardoon
4. Mohammed Saeed
5. Marzyeh Ghassemi
6. Zhengping Che
7. Andrew Y. Ng
8. Michael I. Jordan
9. Ary L. Goldberger
10. David C. Kale

Papers from Vijay Huddar's perspective

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

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

Their papers

• Predicting Complications in Critical Care Using Heterogeneous Clinical Data (2016) — 41 citations