Yash Gupta

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #33,873 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yash Gupta trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Yann LeCun
4. Geoffrey E. Hinton
5. Ian J. Goodfellow
6. Yoshua Bengio
7. Yoon Kim
8. Tomas Mikolov
9. Burr Settles
10. Jimmy Ba

Who trusts Yash Gupta overall

1. Matthew Jagielski
2. Hengrui Jia

Papers from Yash Gupta's perspective

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

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

Their papers

• A framework for the extraction of Deep Neural Networks by leveraging public data (2019) — 63 citations