Mathieu Bernard

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 157 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mathieu Bernard trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Maarten Versteegh
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Daniel Povey
  10. Alex Graves

Who trusts Mathieu Bernard overall

  1. Cong Han
  2. Xu Tan
  3. Nima Mesgarani
  4. Xilin Jiang
  5. Vinay S. Raghavan
  6. Gavin Mischler
  7. Haohe Liu

Papers from Mathieu Bernard's perspective

Ordered by how strongly the researchers Mathieu Bernard 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers