Purvanshi Mehta

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Natural Language Processing — 7 citations into it

Whom Purvanshi Mehta trusts overall

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

1. Subhro Roy
2. Andrew M. Dai
3. Arindam Mitra
4. Rik Koncel-Kedziorski
5. Nitish Srivastava
6. Geoffrey E. Hinton
7. Mohammad Javad Hosseini
8. Quoc V. Le
9. Hannaneh Hajishirzi
10. Alex Krizhevsky

Papers from Purvanshi Mehta's perspective

Ordered by how strongly the researchers Purvanshi Mehta 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Dropout: a simple way to prevent neural networks from overfitting
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Deep Neural Network based system for solving Arithmetic Word problems (2017) — 7 citations