Maxime Chevalier-Boisvert

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 58 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Maxime Chevalier-Boisvert trusts overall

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

  1. Yoshua Bengio
  2. John Schulman
  3. Diederik P. Kingma
  4. Dzmitry Bahdanau
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Richard S. Sutton
  8. Ilya Sutskever
  9. Sergey Ioffe
  10. Kyunghyun Cho

Who trusts Maxime Chevalier-Boisvert overall

  1. Anirudh Goyal
  2. Felix Hill
  3. Yoshua Bengio
  4. Geoffrey Cideron
  5. Shagun Sodhani
  6. Christian Gumbsch
  7. Suvir Mirchandani
  8. Alex Lamb
  9. Khanh Nguyen
  10. Mathieu Seurin

Papers from Maxime Chevalier-Boisvert's perspective

Ordered by how strongly the researchers Maxime Chevalier-Boisvert trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers