Rishabh Dugar

2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Rishabh Dugar trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Marc'Aurelio Ranzato

Papers from Rishabh Dugar's perspective

Ordered by how strongly the researchers Rishabh Dugar 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. A Fast Learning Algorithm for Deep Belief Nets
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Learning Deep Architectures for AI
10. Training Products of Experts by Minimizing Contrastive Divergence

Their papers

• High-order neural networks and kernel methods for peptide-MHC binding prediction (2015) — 35 citations