Dan Rosenbaum

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 5 papers; trusts 101 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Rosenbaum trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Yoshua Bengio
  5. Danilo Jimenez Rezende
  6. Alex Krizhevsky
  7. Alex Graves
  8. Max Welling
  9. Ruslan Salakhutdinov
  10. Ilya Sutskever

Who trusts Dan Rosenbaum overall

  1. Vincent Sitzmann
  2. Bruce D. Meyer
  3. Jonathan Gordon
  4. Raj Chetty
  5. Emmanuel Saez
  6. Juho Lee
  7. Luisa M. Zintgraf
  8. Mingzhang Yin
  9. Marta Garnelo
  10. Hyunjik Kim

Papers from Dan Rosenbaum's perspective

Ordered by how strongly the researchers Dan Rosenbaum 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers