Matthew Kelcey

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Kelcey trusts overall

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

  1. Alex Graves

Who trusts Matthew Kelcey overall

  1. Matt Gardner
  2. Sebastian Riedel
  3. Hannaneh Hajishirzi
  4. Luke S. Zettlemoyer
  5. Eunsol Choi
  6. Jonathan Berant
  7. Danqi Chen
  8. Percy Liang

Papers from Matthew Kelcey's perspective

Ordered by how strongly the researchers Matthew Kelcey trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers