Navin Chandak

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Information Systems — 15 citations into it; #5,889 of 8,771 by trust here, #3,540 by citations
• Management Science and Operations Research — 15 citations into it; #8,403 of 11,946 by trust here, #4,118 by citations
• Marketing — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Navin Chandak trusts overall

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

1. Harald Steck
2. Yoshua Bengio
3. Yehuda Koren
4. Corinna Cortes
5. Robert E. Schapire
6. Chih-Jen Lin
7. Subir Ghosh
8. Guido W. Imbens
9. Markus Weimer
10. Tetsuya Sakai

Who trusts Navin Chandak overall

1. Jinsung Yoon
2. Thorsten Joachims

Papers from Navin Chandak's perspective

Ordered by how strongly the researchers Navin Chandak 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Deep Architectures for AI
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Recommendations as Treatments: Debiasing Learning and Evaluation (2016) — 833 citations