Alexander S. Kott

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander S. Kott trusts overall

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

  1. Brian Chu
  2. Geoffrey E. Hinton
  3. Sergey Levine
  4. Jia Deng
  5. Alex Krizhevsky
  6. Chelsea Finn
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Trevor Darrell
  10. Yann LeCun

Papers from Alexander S. Kott's perspective

Ordered by how strongly the researchers Alexander S. Kott 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers