Madhav Nimishakavi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Graph Learning — 14 citations into it

Whom Madhav Nimishakavi trusts overall

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

1. Jason Aaron Edward Weston
2. Dengyong Zhou
3. Thomas Kipf
4. Tamara G. Kolda
5. James Atwood
6. Bernhard Schölkopf
7. Olivier Chapelle
8. Geoffrey E. Hinton
9. Max Welling
10. Yifan Feng

Who trusts Madhav Nimishakavi overall

1. Jing Huang

Papers from Madhav Nimishakavi's perspective

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

Their papers

• HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs (2018) — 681 citations