Hitesh U Vaidya

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Hitesh U Vaidya trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ronald Kemker
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Dan Hendrycks
9. Ross B. Girshick
10. X. Zhang

Papers from Hitesh U Vaidya's perspective

Ordered by how strongly the researchers Hitesh U Vaidya 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Stream-51: Streaming Classification and Novelty Detection from Videos (2020) — 28 citations