Nathan D. Kalka

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 103 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan D. Kalka trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Ioffe
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Radford M. Neal
  7. Kaiming He
  8. Alex Kendall
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Nathan D. Kalka overall

  1. Qiang Meng
  2. Jie Chang
  3. Stepan Alekseevich Komkov
  4. Minchul Kim

Papers from Nathan D. Kalka's perspective

Ordered by how strongly the researchers Nathan D. Kalka 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers