Karthik Kalyanaraman
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Artificial Intelligence — 5 citations into it
Whom Karthik Kalyanaraman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Karthik Kalyanaraman overall
Papers from Karthik Kalyanaraman's perspective
Ordered by how strongly the researchers Karthik Kalyanaraman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Backpropagation Applied to Handwritten Zip Code Recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Large Scale Distributed Deep Networks
- Visualizing and Understanding Convolutional Networks
- Building high-level features using large scale unsupervised learning
- Learning representations by back-propagating errors
- Long Short-Term Memory
Their papers
- Project Adam: Building an Efficient and Scalable Deep Learning Training System (2014) — 827 citations