Damien Vincent

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 15 papers; trusts 223 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Damien Vincent trusts overall

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

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

Who trusts Damien Vincent overall

  1. Eirikur Agustsson
  2. David C. Minnen
  3. Fabian Mentzer
  4. Michael Tschannen
  5. Guo Lu
  6. Francesco Locatello
  7. Zhihao Hu
  8. Oren Rippel
  9. Yoojin Choi
  10. Jooyoung Lee

Papers from Damien Vincent's perspective

Ordered by how strongly the researchers Damien Vincent 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers