Gregory Gelly

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gregory Gelly trusts overall

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

  1. Alex Graves
  2. Patrick Kenny
  3. Paul J. Werbos
  4. Diederik P. Kingma
  5. Daniel Garcia-Romero
  6. Simon J. D. Prince
  7. Geoffrey E. Hinton
  8. Jimmy Ba
  9. Najim Dehak
  10. Javier Gonzalez-Dominguez

Papers from Gregory Gelly's perspective

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

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

Their papers