Jack Kelly

Model Architectures · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jack Kelly trusts overall

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

  1. Paul J. Werbos
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Ronald J. Williams
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. David E. Rumelhart
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Jack Kelly overall

  1. Chaoyun Zhang
  2. William John Knottenbelt
  3. Mingjun Zhong
  4. Zong-Hui Wang
  5. Christian Beckel

Papers from Jack Kelly's perspective

Ordered by how strongly the researchers Jack Kelly 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers