Vincent Micheli

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Micheli trusts overall

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

  1. Alec Radford
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Richard S. Sutton
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Kaiming He
  10. J. Urgen Schmidhuber

Who trusts Vincent Micheli overall

  1. Danijar Hafner
  2. Yueen Ma
  3. Shenyuan Gao
  4. Anthony Hu
  5. J. Pašukonis
  6. Zixing Song

Papers from Vincent Micheli's perspective

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

Their papers