Andrew Rosenberg

Artificial Intelligence · 2007–2023

A researcher in the Science corpus: 13 papers; trusts 130 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Rosenberg trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Paul P. G. Boersma
  4. Geoffrey E. Hinton
  5. Yu Zhang
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Jorma Rissanen

Who trusts Andrew Rosenberg overall

  1. Xu Tan
  2. Zhehuai Chen
  3. Yu Zhang
  4. Haohan Guo
  5. Fabio Tesser
  6. Yuxuan Wang
  7. R. Skerry-Ryan
  8. Frank K. Soong
  9. Cory Shain
  10. Dimitri Kartsaklis

Papers from Andrew Rosenberg's perspective

Ordered by how strongly the researchers Andrew Rosenberg 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers