Yannick Terme

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yannick Terme trusts overall

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

  1. Sergey Levine
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. John Schulman
  6. Yoshua Bengio
  7. Chelsea Finn
  8. Pieter Abbeel
  9. Yann LeCun
  10. Dipendra Kumar Misra

Papers from Yannick Terme's perspective

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

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

Their papers