Tamoghna Roy

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #29,073 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Tamoghna Roy trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Kaiming He
6. Yoshua Bengio
7. Tim O'Shea
8. Jerome H. Friedman
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Tamoghna Roy overall

1. Meysam Sadeghi

Papers from Tamoghna Roy's perspective

Ordered by how strongly the researchers Tamoghna Roy 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Over-the-Air Deep Learning Based Radio Signal Classification (2017) — 1,429 citations