Nick Cheney

Artificial Intelligence · 2013–2022

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Cheney trusts overall

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

  1. Kenneth O. Stanley
  2. Jeff Clune
  3. Brian G. Woolley
  4. Hod Lipson
  5. Karl Sims
  6. Jean-Baptiste Mouret
  7. Risto Miikkulainen
  8. David B. D'Ambrosio
  9. Joel Lehman
  10. Sean B. Carroll

Who trusts Nick Cheney overall

  1. Jeff Clune
  2. Jean-Baptiste Mouret
  3. Josie Hughes
  4. Joel Lehman
  5. Rui Wang

Papers from Nick Cheney's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  6. ImageNet: A large-scale hierarchical image database
  7. Human-level control through deep reinforcement learning
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers