A. Datta

Artificial Intelligence · with Bapna · 2019

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

Subfields

• Artificial Intelligence — 23 citations into it; #34,864 of 35,345 by trust here, #23,731 by citations
• Signal Processing — 14 citations into it; #7,507 of 7,572 by trust here, #4,560 by citations
• Model Architectures — 6 citations into it

Whom A. Datta trusts overall

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

1. Alex Graves
2. Brian Kingsbury
3. Pawel Swietojanski
4. Geoffrey E. Hinton
5. Hasim Sak
6. Kanishka Rao
7. Tara N. Sainath
8. Yoshua Bengio
9. J. Urgen Schmidhuber

Who trusts A. Datta overall

1. Jinyu Li
2. Vineel Pratap

Papers from A. Datta's perspective

Ordered by how strongly the researchers A. Datta trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model (2019) — 194 citations