Keiran Paster

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 119 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Keiran Paster trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. J. Urgen Schmidhuber
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Sepp Hochreiter
  8. Richard S. Sutton
  9. Yann LeCun
  10. Alex Graves

Who trusts Keiran Paster overall

  1. Michael Janner
  2. Eric Zelikman
  3. Lili Chen
  4. Qiyang Li
  5. Zhangir Azerbayev
  6. Sergey Levine

Papers from Keiran Paster's perspective

Ordered by how strongly the researchers Keiran Paster 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers