Puneet Kumar Gupta

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Puneet Kumar Gupta trusts overall

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

  1. Kaiming He
  2. Tianqi Chen
  3. Linda Wang
  4. Joseph Aylett-Bullock
  5. X. Zhang

Papers from Puneet Kumar Gupta's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Multi-Scale Context Aggregation by Dilated Convolutions
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers