Puneet S. Sharma

Computer Vision and Pattern Recognition · 2016–2018

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

Subfields

Whom Puneet S. Sharma trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from Puneet S. Sharma's perspective

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

  1. Learning Deep Architectures for AI
  2. Understanding the difficulty of training deep feedforward neural networks
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Practical Bayesian Optimization of Machine Learning Algorithms
  5. Pattern Recognition and Machine Learning
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ADADELTA: An Adaptive Learning Rate Method
  9. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  10. Gradient-based learning applied to document recognition

Their papers