Yash Mehta

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Natural Language Processing — 8 citations into it
• Social Psychology — 7 citations into it
• Clinical Psychology — 6 citations into it

Whom Yash Mehta trusts overall

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

1. Soujanya Poria
2. Robert E. Schapire
3. Erik Cambria
4. Karen Simonyan
5. Kaiming He
6. Teuvo Kohonen
7. Yoav Freund
8. Navneet Dalal
9. Tomas Mikolov
10. Yoshua Bengio

Papers from Yash Mehta's perspective

Ordered by how strongly the researchers Yash 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Recent trends in deep learning based personality detection (2019) — 300 citations