Narine Kokhlikyan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Model Architectures — 12 citations into it

Whom Narine Kokhlikyan trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Kaiming He
4. Matthew D. Zeiler
5. Alex Krizhevsky
6. Christian Szegedy
7. Yoshua Bengio
8. Mukund Sundararajan
9. Yann LeCun
10. Andrew Zisserman

Papers from Narine Kokhlikyan's perspective

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

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

Their papers

• Mind the Pad - CNNs can Develop Blind Spots (2020) — 85 citations
• Captum: A unified and generic model interpretability library for PyTorch (2020) — 1,169 citations