Colin Kohler

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Colin Kohler trusts overall

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

  1. Tom Schaul
  2. Balaraman Ravindran
  3. Volodymyr Mnih
  4. Andrew Barto
  5. John Schulman
  6. Richard S. Sutton
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. David Silver
  10. Timothy P. Lillicrap

Papers from Colin Kohler's perspective

Ordered by how strongly the researchers Colin Kohler 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. Human-level control through deep reinforcement learning
  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. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  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