Mohak Shah

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Information Systems — 9 citations into it

Whom Mohak Shah trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ronan Collobert
6. David J. Hand
7. Ilya Sutskever
8. L. Eon Bottou

Who trusts Mohak Shah overall

1. Giovanni Da San Martino
2. José Hernandez-Orallo
3. Rohit J. Kate
4. Lucía Santamaría
5. Alex Alves Freitas
6. Nicoló Navarin
7. Taskin Kavzoglu
8. Thomas Walter Rauber
9. Reuben Binns
10. Jie Lu

Papers from Mohak Shah's perspective

Ordered by how strongly the researchers Mohak Shah trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Et al
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016) — 210 citations
• Comparative Study of Deep Learning Software Frameworks (2015) — 168 citations
• Evaluating Learning Algorithms: A Classification Perspective (2011) — 1,037 citations