Kalpesh Patil

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #10,409 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 6 citations into it; #16,323 of 35,345 by trust here, #28,481 by citations

Whom Kalpesh Patil trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Yann LeCun
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Adam Coates
7. Antonio Torralba
8. Andrew Y. Ng
9. L. Eon Bottou
10. Rob Fergus

Who trusts Kalpesh Patil overall

1. Sungho Shin
2. Matthew Riemer
3. Kartikeya Bhardwaj

Papers from Kalpesh Patil's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Knowledge distillation using unlabeled mismatched images (2017) — 17 citations