Andrew Kimmel

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Kimmel trusts overall

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

  1. Jan Peters
  2. Pieter Abbeel
  3. Marc Peter Deisenroth
  4. John Schulman
  5. Philipp Hennig
  6. Mohit Sewak
  7. Geoffrey E. Hinton
  8. Nikolaus Hansen
  9. Sergey Levine
  10. Yan Duan

Papers from Andrew Kimmel's perspective

Ordered by how strongly the researchers Andrew Kimmel 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Human-level control through deep reinforcement learning
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers