Vipul Kumar Mishra

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 388 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vipul Kumar Mishra trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Christian Szegedy
  10. Ross B. Girshick

Who trusts Vipul Kumar Mishra overall

  1. Tailin Liang

Papers from Vipul Kumar Mishra's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers