Dieterich Lawson

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 257 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Dieterich Lawson trusts overall

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

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Danilo Jimenez Rezende
  5. Yoshua Bengio
  6. Ronald J. Williams
  7. Ruslan Salakhutdinov
  8. Alex Krizhevsky
  9. Andriy Mnih
  10. Yann LeCun

Who trusts Dieterich Lawson overall

  1. Michael Arbel
  2. Jonathan Ho
  3. Fredrik K. Gustafsson
  4. Lantao Yu
  5. Arash Vahdat
  6. Artem Sobolev
  7. Tuan Anh Le
  8. Liang Zhou
  9. Pierre-Alexandre Mattei
  10. Justin Domke

Papers from Dieterich Lawson's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers