Mandar Kulkarni

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #10,408 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 10 citations into it; #16,322 of 35,345 by trust here, #28,481 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Mandar Kulkarni trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Yann LeCun
4. Geoffrey E. Hinton
5. Jimmy Ba
6. L. Eon Bottou
7. Bernhard Schölkopf
8. Antonio Torralba
9. Adam Coates
10. Diederik P. Kingma

Who trusts Mandar Kulkarni overall

1. Sungho Shin
2. Matthew Riemer
3. Simone Scardapane
4. Kartikeya Bhardwaj
5. Eugene Belilovsky
6. Yoonho Boo
7. Michele Scarpiniti
8. Tim Klinger
9. Naveen Suda
10. Akisato Kimura

Papers from Mandar Kulkarni's perspective

Ordered by how strongly the researchers Mandar 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. 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Knowledge distillation using unlabeled mismatched images (2017) — 17 citations
• Layer-wise training of deep networks using kernel similarity (2017) — 42 citations