Alexandre Berard

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandre Berard trusts overall

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

  1. Dzmitry Bahdanau
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Kyunghyun Cho
  8. Quoc V. Le
  9. Oriol Vinyals
  10. Alex Graves

Who trusts Alexandre Berard overall

  1. Changhan Wang
  2. Mattia Antonino Di Gangi
  3. Juan Pino
  4. Ye Jia
  5. Anne Wu
  6. Ron J. Weiss
  7. Matthias Sperber
  8. Antonios Anastasopoulos
  9. Marcely Zanon Boito
  10. Matteo Negri

Papers from Alexandre Berard's perspective

Ordered by how strongly the researchers Alexandre Berard 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers