Morgane Rivière

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 11 papers; trusts 126 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Morgane Rivière trusts overall

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

  1. Thomas Schatz
  2. Alex Graves
  3. Maarten Versteegh
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Alexei Baevski
  9. A. van den Oord
  10. Ashish Vaswani

Who trusts Morgane Rivière overall

  1. Evgeny Kharitonov
  2. Tu Nguyen
  3. Wei-Ning Hsu
  4. Changhan Wang
  5. Alexei Baevski
  6. Emmanuel Dupoux
  7. Kushal Lakhotia
  8. Ann Lee
  9. Jade Copet
  10. Abdel-rahman Mohamed

Papers from Morgane Rivière's perspective

Ordered by how strongly the researchers Morgane Rivière 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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