Subrata Chakraborty

Artificial Intelligence · with Horry · 2020

A researcher in the Science corpus: 1 paper; trusts 40 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 — 26 citations into it
• Model Architectures — 13 citations into it

Whom Subrata Chakraborty trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Karen Simonyan
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Jonathan Munro
7. Andrew Zisserman
8. Jia Deng
9. Ross B. Girshick
10. Yoshua Bengio

Papers from Subrata Chakraborty's perspective

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

Their papers

• COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data (2020) — 376 citations