Greg Kochanski

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Greg Kochanski trusts overall

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

  1. Ryan P. Adams

Who trusts Greg Kochanski overall

  1. Liam Li
  2. Ekin Dogus Cubuk
  3. Rishabh Agarwal

Papers from Greg Kochanski's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. Recurrent Neural Network Regularization
  4. ImageNet classification with deep convolutional neural networks
  5. Algorithms for Hyper-Parameter Optimization
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers