Anindya Datta

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #18,373 of 35,345 by trust here, #29,412 by citations
• Accounting — 6 citations into it
• Finance — 5 citations into it

Whom Anindya Datta trusts overall

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

1. Feng Li
2. Justin Grimmer
3. Michael I. Jordan
4. David M. Blei
5. Peter J. Rousseeuw
6. T. Griffiths
7. Eugene F. Fama
8. Yla R. Tausczik
9. Samuel Brody
10. Yohan Jo

Who trusts Anindya Datta overall

1. Ingrid E. Fisher
2. Tzu-Ting Chiu
3. Timothy R. Hannigan

Papers from Anindya Datta's perspective

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

Their papers

• Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures (2014) — 402 citations