Hastagiri P. Vanchinathan

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hastagiri P. Vanchinathan trusts overall

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

  1. Ronald J. Williams
  2. Lihong Li
  3. Andreas Krause
  4. Wei Chu
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Donald Metzler
  8. H. Sebastian Seung
  9. Christopher K. I. Williams
  10. Thomas Desautels

Who trusts Hastagiri P. Vanchinathan overall

  1. Ryan-Rhys Griffiths
  2. Sindy Löwe
  3. Konstantina Christakopoulou
  4. Bobak Shahriari
  5. Yu-Wei Kao
  6. José Miguel Hernández-Lobato
  7. Peter O'Connor
  8. Filip Radlinski
  9. Wojciech M. Czarnecki
  10. James C. R. Whittington

Papers from Hastagiri P. Vanchinathan's perspective

Ordered by how strongly the researchers Hastagiri P. Vanchinathan 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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers