Mohammad Tanveer
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Optimization & Training — 14 citations into it
- Signal Processing — 11 citations into it
- Statistics and Probability — 8 citations into it
- Management Science and Operations Research — 7 citations into it
- Molecular Biology — 7 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Mohammad Tanveer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Li Deng
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jerome H. Friedman
- Yoshua Bengio
- Yann LeCun
- Dong Yu
- Ilya Sutskever
- Kaiming He
Papers from Mohammad Tanveer's perspective
Ordered by how strongly the researchers Mohammad Tanveer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Ensemble deep learning: A review (2021) — 2,013 citations