Daniel L. Rubin

Computer Vision and Pattern Recognition · 2002–2021

A researcher in the Science corpus: 19 papers; trusts 198 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel L. Rubin trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Yann LeCun
  7. Jia Deng
  8. Andrea Vedaldi
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Daniel L. Rubin overall

  1. Yael Garten
  2. Andreas Holzinger
  3. Caroline F. Thorn
  4. Russ B. Altman
  5. Teri E. Klein
  6. Martijn P. van den Heuvel

Papers from Daniel L. Rubin's perspective

Ordered by how strongly the researchers Daniel L. Rubin 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers