Louis-Noël Pouchet

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Louis-Noël Pouchet trusts overall

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

  1. Yoshua Bengio
  2. Kyunghyun Cho
  3. Sepp Hochreiter
  4. Dzmitry Bahdanau

Who trusts Louis-Noël Pouchet overall

  1. Chun Xia
  2. Lingming Zhang

Papers from Louis-Noël Pouchet's perspective

Ordered by how strongly the researchers Louis-Noël Pouchet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers