Tanmayee Narendra

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Tanmayee Narendra trusts overall

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

1. Alex Krizhevsky
2. Judea Pearl
3. Karen Simonyan
4. Kaiming He
5. Yann LeCun
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Yoshua Bengio
9. L. Eon Bottou
10. X. Zhang

Papers from Tanmayee Narendra's perspective

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

Their papers

• Explaining Deep Learning Models using Causal Inference (2018) — 59 citations