Andrew Hickl

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Hickl trusts overall

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

  1. B. Taskar
  2. Michael Collins
  3. Simon Lacoste-Julien
  4. Martha Palmer
  5. Ted Pedersen
  6. Adam Meyers
  7. Ido Dagan
  8. Christopher Potts
  9. Christine Gunlogson
  10. Paul R. Kingsbury

Who trusts Andrew Hickl overall

  1. Roser Saurí
  2. Gabor Angeli

Papers from Andrew Hickl's perspective

Ordered by how strongly the researchers Andrew Hickl 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers