Muthian Sivathanu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Model Architectures — 12 citations into it

Whom Muthian Sivathanu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ilya Sutskever
6. Yoshua Bengio
7. X. Zhang
8. Alec Radford
9. Max Welling
10. Yann LeCun

Papers from Muthian Sivathanu's perspective

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

Their papers

• Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning (2020) — 173 citations
• Gandiva: Introspective Cluster Scheduling for Deep Learning (2018) — 605 citations