Mayank Kabra

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 11 citations into it; #28,620 of 35,345 by trust here, #26,682 by citations
• Optimization & Training — 5 citations into it

Whom Mayank Kabra trusts overall

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

1. Jerome H. Friedman
2. Matthew D. Zeiler
3. Rob Fergus
4. Naoki Abe
5. Jia Deng
6. Antonio Torralba
7. Jeff Donahue
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Li Fei-Fei

Who trusts Mayank Kabra overall

1. Florian Tramèr
2. Nadia Burkart
3. Thibault Laugel
4. John J. Dudley
5. Adriana Kovashka
6. Vaggelis Atlidakis
7. Sandeep R. Datta
8. John Joseph Valletta
9. Marco F. Huber
10. David J. Anderson

Papers from Mayank Kabra's perspective

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

Their papers

• Understanding classifier errors by examining influential neighbors (2015) — 29 citations
• JAABA: interactive machine learning for automatic annotation of animal behavior (2013) — 608 citations