Angira Sharma

Industrial and Manufacturing Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Angira Sharma trusts overall

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

  1. Yang Lu
  2. Qinglin Qi
  3. Fei Tao
  4. E. Glaessgen
  5. David Lopez-Paz
  6. Qiang Yang
  7. E. Tuegel
  8. Qiang Liu
  9. Yuqian Lu
  10. Marc'Aurelio Ranzato

Papers from Angira Sharma's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. GENERATIVE ADVERSARIAL NETS

Their papers