Shanu Kumar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 238 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #28,633 of 35,345 by trust here, #29,412 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #17,597 of 21,575 by trust here, #18,782 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it; #2,213 of 3,265 by trust here, #2,837 by citations
• Safety, Robustness & Interpretability — 5 citations into it

Whom Shanu Kumar trusts overall

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

1. Alex Krizhevsky
2. Yarin Gal
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. Diederik P. Kingma
9. Christian Szegedy
10. Ross B. Girshick

Who trusts Shanu Kumar overall

1. Badri N. Patro
2. Vinod Kumar Kurmi

Papers from Shanu Kumar's perspective

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

Their papers

• Attending to Discriminative Certainty for Domain Adaptation (2019) — 113 citations