Shivam Bhasin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shivam Bhasin trusts overall

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

  1. Vinod Nair
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Éric Brier
  6. O. Ohrimenko
  7. X. Zhang
  8. Yann LeCun

Who trusts Shivam Bhasin overall

  1. Manaar Alam

Papers from Shivam Bhasin's perspective

Ordered by how strongly the researchers Shivam Bhasin 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers