Aishanee Shah

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Optimization & Training — 9 citations into it

Whom Aishanee Shah trusts

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

1. Cynthia Dwork (in Artificial Intelligence)
2. Timothy Dozat (in Optimization & Training)

Papers from Aishanee Shah's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Distilling the Knowledge in a Neural Network (arXiv.org)
3. On the importance of initialization and momentum in deep learning
4. Deep Neural Networks for Acoustic Modeling in Speech Recognition
5. Deep Learning with Differential Privacy
6. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
7. Some methods of speeding up the convergence of iteration methods
8. Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition
9. Long Short-Term Memory
10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers

• Training Keyword Spotting Models on Non-IID Data with Federated Learning (2020) — 74 citations