Russell Power

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 7 papers; trusts 136 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Russell Power trusts overall

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

  1. Muthu Dayalan
  2. Tomas Mikolov
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. L. Eon Bottou
  8. Sepp Hochreiter
  9. Yann LeCun
  10. Alex Krizhevsky

Who trusts Russell Power overall

  1. Henggang Cui
  2. Chenyan Xiong
  3. G. R. Ganger
  4. Zhenghao Liu
  5. Omar Y. Al-Jarrah
  6. James Cipar
  7. Derek Gordon Murray
  8. Yucheng Low
  9. Aaron Harlap
  10. Sebastian Hofstätter

Papers from Russell Power's perspective

Ordered by how strongly the researchers Russell Power 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers