Praveen Kulkarni

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Praveen Kulkarni trusts overall

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

1. L. Eon Bottou
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Andrew Zisserman
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Praveen Kulkarni overall

1. Dhanesh Ramachandram
2. Saurabh Saxena
3. Di Feng
4. Jakob Verbeek
5. Graham W. Taylor

Papers from Praveen Kulkarni's perspective

Ordered by how strongly the researchers Praveen Kulkarni 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning the Structure of Deep Architectures Using L1 Regularization (2015) — 22 citations