Sunabha Chatterjee

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #28,568 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Meta & Continual Learning — 9 citations into it; #882 of 1,041 by trust here, #993 by citations
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Sunabha Chatterjee trusts overall

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

1. Radford M. Neal
2. David M. Blei
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Anthony V. Robins
6. Marco Cote
7. Teofilo F. Gonzalez
8. Yoshua Bengio
9. T. Griffiths
10. Alex Krizhevsky

Who trusts Sunabha Chatterjee overall

1. Jorge Armando Mendez Mendez
2. Randy Ardywibowo

Papers from Sunabha Chatterjee's perspective

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

Their papers

• Bayesian Structure Adaptation for Continual Learning (2019) — 35 citations