Pascal Poupart

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 15 papers; trusts 327 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Pascal Poupart trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Leslie Pack Kaelbling
  6. Andrew Barto
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Ronald J. Williams

Who trusts Pascal Poupart overall

  1. Todd Hester
  2. Sultan Javed Majeed
  3. Csaba Szepesvari
  4. Hado van Hasselt
  5. J. Langford
  6. Lihong Li
  7. Michael L. Littman
  8. Peter Stone
  9. J. Kolter
  10. Nikos A. Vlassis

Papers from Pascal Poupart's perspective

Ordered by how strongly the researchers Pascal Poupart 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers