S. Basu

Artificial Intelligence · with Avati · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Optimization & Training — 7 citations into it

Whom S. Basu trusts overall

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

1. Radford M. Neal
2. Yarin Gal
3. Alex Graves
4. Shun-ichi Amari
5. James Martens
6. Balaji Lakshminarayanan
7. Michalis K. Titsias
8. Geoffrey E. Hinton

Papers from S. Basu's perspective

Ordered by how strongly the researchers S. Basu 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• NGBoost: Natural Gradient Boosting for Probabilistic Prediction (2019) — 474 citations