Jonas Degrave

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jonas Degrave trusts overall

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

  1. Sergey Levine
  2. Richard S. Sutton
  3. Pieter Abbeel
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Chelsea Finn
  7. J. Urgen Schmidhuber
  8. Yoshua Bengio
  9. E. Todorov
  10. Alex Krizhevsky

Who trusts Jonas Degrave overall

  1. Benjamin Eysenbach
  2. Corey Lynch
  3. Sergey Levine
  4. Yiming Ding
  5. Kelvin Xu

Papers from Jonas Degrave's perspective

Ordered by how strongly the researchers Jonas Degrave 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Human-level control through deep reinforcement learning

Their papers