Rohit Keshari

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #29,096 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 6 citations into it; #17,859 of 21,575 by trust here, #21,103 by citations
• Optimization & Training — 6 citations into it

Whom Rohit Keshari trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yarin Gal
4. Diederik P. Kingma
5. Yann LeCun
6. Jimmy Ba
7. Nitish Srivastava
8. Yoshua Bengio
9. Ilya Sutskever
10. Simon S. Haykin

Who trusts Rohit Keshari overall

1. Jongyoon Kim
2. Dong-Wan Choi

Papers from Rohit Keshari's perspective

Ordered by how strongly the researchers Rohit Keshari 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 Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Guided Dropout (2018) — 37 citations