Yann Dubois

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 255 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yann Dubois trusts overall

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

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

Who trusts Yann Dubois overall

  1. Bill Yuchen Lin
  2. Nathan Lambert
  3. Yu Meng
  4. Mengzhou Xia
  5. Pedro Henrique Martins
  6. Benjamin Newman
  7. Zhihong Shao
  8. Zhiyuan Zeng
  9. Tianle Li
  10. Ryan Park

Papers from Yann Dubois's perspective

Ordered by how strongly the researchers Yann Dubois 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images

Their papers