Mrigank Sharad

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.

Whom Mrigank Sharad trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Yoshua Bengio
4. Ronan Collobert

Papers from Mrigank Sharad's perspective

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

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. A Fast Learning Algorithm for Deep Belief Nets
4. ImageNet classification with deep convolutional neural networks
5. Learning Deep Architectures for AI
6. Reading Digits in Natural Images with Unsupervised Feature Learning
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Torch7: A Matlab-like Environment for Machine Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• SPINDLE: SPINtronic Deep Learning Engine for large-scale neuromorphic computing (2014) — 86 citations