Deepta Rajan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 5 citations into it

Whom Deepta Rajan trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Zachary Chase Lipton
4. Yoshua Bengio
5. Jimmy Ba
6. Dzmitry Bahdanau
7. Geoffrey E. Hinton
8. Oriol Vinyals
9. Kyunghyun Cho
10. David C. Kale

Who trusts Deepta Rajan overall

1. Bryan Lim
2. Hrayr Harutyunyan
3. Kukjin Choi

Papers from Deepta Rajan's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Attend and Diagnose: Clinical Time Series Analysis using Attention Models (2017) — 530 citations