Raunaq Vohra

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 Raunaq Vohra trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter
3. Alex Graves
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. David E. Rumelhart
7. Yann LeCun
8. Alex Krizhevsky
9. Oriol Vinyals
10. Frédéric Bastien

Papers from Raunaq Vohra's perspective

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

Their papers

• Modeling temporal dependencies in data using a DBN-LSTM (2015) — 34 citations