Prateek Gupta

Computer Vision and Pattern Recognition · with Alsdurf · 2020

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 34 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Model Architectures — 5 citations into it

Whom Prateek Gupta trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Christian Szegedy
5. Sergey Ioffe
6. Alex Krizhevsky
7. Yann LeCun
8. Ronald J. Williams
9. Kaiming He
10. Jimmy Ba

Papers from Prateek Gupta's perspective

Ordered by how strongly the researchers Prateek Gupta 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Going deeper with convolutions
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Revisiting Training Strategies and Generalization Performance in Deep Metric Learning (2020) — 191 citations
• COVI White Paper (2020) — 30 citations