Olivier Teboul

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Teboul trusts overall

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

  1. Diederik P. Kingma
  2. Dong C. Liu
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Tao Qin
  6. Aditya Grover
  7. Yoshua Bengio
  8. Michael J. Taylor
  9. Eyke Hüllermeier
  10. Alex Krizhevsky

Papers from Olivier Teboul's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers