Hriday Bavle

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hriday Bavle trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Chih-Jen Lin
  4. Diederik P. Kingma
  5. Morgan Quigley
  6. Ezio Malis
  7. Roel S. Pieters
  8. Navneet Dalal
  9. Ilya Sutskever
  10. Vinod Nair

Papers from Hriday Bavle's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Histograms of oriented gradients for human detection
  6. Gradient-based learning applied to document recognition
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers