Ganesh Iyer

Computer Vision and Pattern Recognition · with Jatavallabhula · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ganesh Iyer trusts overall

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

  1. Alex Kendall
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. Sepp Hochreiter
  7. Alex Krizhevsky
  8. Christian Szegedy
  9. Andrew Zisserman
  10. Jimmy Ba

Papers from Ganesh Iyer's perspective

Ordered by how strongly the researchers Ganesh Iyer 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers