Sudarshan Babu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Optimization & Training — 23 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Model Architectures — 12 citations into it
• Computational Mechanics — 6 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Sudarshan Babu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Yoshua Bengio
7. Ross B. Girshick
8. Diederik P. Kingma
9. Andrew Zisserman
10. Yann LeCun

Papers from Sudarshan Babu's perspective

Ordered by how strongly the researchers Sudarshan Babu 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Domain-Independent Dominance of Adaptive Methods (2019) — 23 citations