Daniel Toyama

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Toyama trusts overall

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

  1. Richard S. Sutton
  2. E. Todorov
  3. Marc G. Bellemare
  4. David Silver
  5. Volodymyr Mnih
  6. Geoffrey E. Hinton
  7. Murray Campbell
  8. Ronald J. Williams
  9. Tianmin Shu
  10. Diederik P. Kingma

Who trusts Daniel Toyama overall

  1. Christopher Rawles
  2. Izzeddin Gur
  3. Linxi (Jim) Fan

Papers from Daniel Toyama's perspective

Ordered by how strongly the researchers Daniel Toyama 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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers