Michael J. Anderson

Artificial Intelligence · 2015

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Anderson trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Andriy Mnih
  5. Ilya Sutskever
  6. Pascal Vincent
  7. Alex Krizhevsky
  8. David E. Rumelhart
  9. Quoc V. Le

Who trusts Michael J. Anderson overall

  1. Akiko Eriguchi
  2. Michalis K. Titsias
  3. Jiameng Gao

Papers from Michael J. Anderson's perspective

Ordered by how strongly the researchers Michael J. Anderson 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers