Neil Burch

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 15 papers; trusts 58 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Neil Burch trusts overall

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

  1. Michael Bradley Johanson
  2. Yurii E. Nesterov
  3. Michael H. Bowling
  4. Kevin Waugh
  5. Martin A. Zinkevich
  6. Andrew Gilpin
  7. Tuomas Sandholm
  8. Darse Billings
  9. Yoav Freund
  10. Claude E. Shannon

Who trusts Neil Burch overall

  1. Noam Brown
  2. Tuomas Sandholm
  3. Johannes Heinrich
  4. Marc Lanctot
  5. Sam Ganzfried
  6. Lasse Becker-Czarnetzki
  7. David Silver
  8. Michael H. Bowling
  9. Yuxi Li
  10. Vojtěch Kovařík

Papers from Neil Burch's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Asynchronous Methods for Deep Reinforcement Learning
  6. Long Short-Term Memory
  7. Reinforcement Learning: An Introduction
  8. Human-level control through deep reinforcement learning
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers