Mahesh Subedar
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it
- Artificial Intelligence — 27 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
Whom Mahesh Subedar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yarin Gal
- Alex Graves
- Geoffrey E. Hinton
- Alex Kendall
- Kaiming He
- L. Eon Bottou
- Alex Krizhevsky
- Yann LeCun
- Andrew Zisserman
- Yoshua Bengio
Who trusts Mahesh Subedar overall
Papers from Mahesh Subedar's perspective
Ordered by how strongly the researchers Mahesh Subedar trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge