Philippe Laban

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe Laban trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Richard Socher
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Yann LeCun
  9. Kaiming He
  10. Alex Graves

Who trusts Philippe Laban overall

  1. Alexander R. Fabbri
  2. Yuheng Zha
  3. Tianyi Zhang
  4. Weijia Shi
  5. Timo Schick
  6. Yixin Wan
  7. Sewon Min
  8. Ming Zhong
  9. Or Honovich
  10. Ziwei Ji

Papers from Philippe Laban's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers