Dustin Morrill

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Dustin Morrill trusts overall

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

  1. Michael H. Bowling
  2. Michael Bradley Johanson
  3. Martin A. Zinkevich
  4. Richard S. Sutton
  5. Kevin Waugh
  6. Marc Lanctot
  7. Neil Burch
  8. Noam Brown
  9. Stéphane Ross
  10. Yoshua Bengio

Who trusts Dustin Morrill overall

  1. Kaiqing Zhang
  2. Marc Lanctot
  3. Zhuoran Yang
  4. Noam Brown
  5. Tamer Basar
  6. Edward Lockhart
  7. Shayegan Omidshafiei
  8. Julien Pérolat
  9. Johannes Heinrich
  10. Jean-Baptiste Lespiau

Papers from Dustin Morrill's perspective

Ordered by how strongly the researchers Dustin Morrill 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Reinforcement Learning: An Introduction
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers