Pierre-Emmanuel Mazar'e

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre-Emmanuel Mazar'e trusts overall

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

  1. Thomas Schatz
  2. Maarten Versteegh
  3. Alex Graves
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Tomas Mikolov
  7. Yoshua Bengio
  8. A. van den Oord
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Pierre-Emmanuel Mazar'e overall

  1. Morgane Rivière
  2. Tu Nguyen
  3. Alexei Baevski
  4. Evgeny Kharitonov
  5. Changhan Wang
  6. Wei-Ning Hsu
  7. Luyu Wang
  8. Emmanuel Dupoux
  9. Andy T. Liu

Papers from Pierre-Emmanuel Mazar'e's perspective

Ordered by how strongly the researchers Pierre-Emmanuel Mazar'e trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers