Divya Mahajan

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it

Whom Divya Mahajan trusts overall

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

1. Alex Krizhevsky
2. Yu-hsin Chen
3. Geoffrey E. Hinton

Papers from Divya Mahajan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Backpropagation Applied to Handwritten Zip Code Recognition
4. Caffe: Convolutional Architecture for Fast Feature Embedding
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. A Fast Learning Algorithm for Deep Belief Nets
8. GradientBased Learning Applied to Document Recognition
9. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
10. Long Short-Term Memory

Their papers

• From high-level deep neural models to FPGAs (2016) — 500 citations
• Efficient Algorithms for Device Placement of DNN Graph Operators (2020) — 81 citations