Zachary Brown

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zachary Brown trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jeffrey Pennington

Papers from Zachary Brown's perspective

Ordered by how strongly the researchers Zachary Brown 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. GloVe: Global Vectors for Word Representation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Efficient Estimation of Word Representations in Vector Space
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers