Anush Sankaran

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 Anush Sankaran 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 Anush Sankaran's perspective

Ordered by how strongly the researchers Anush Sankaran 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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