Supratik Mukhopadhyay

Computer Vision and Pattern Recognition · with Basu · 2015

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Artificial Intelligence — 8 citations into it

Whom Supratik Mukhopadhyay trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Honglak Lee
5. Yann LeCun
6. Marc'Aurelio Ranzato
7. Ilya Sutskever
8. Ruslan Salakhutdinov
9. Diederik P. Kingma
10. Volodymyr Mnih

Papers from Supratik Mukhopadhyay's perspective

Ordered by how strongly the researchers Supratik Mukhopadhyay 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• DeepSat: a learning framework for satellite imagery (2015) — 377 citations
• Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets (2015) — 83 citations