Stanislas Polu

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 82 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Stanislas Polu trusts overall

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

  1. Alec Radford
  2. Ilya Sutskever
  3. Christian Szegedy
  4. Daniel Whalen
  5. Jia Deng
  6. Mingzhe Wang
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Kshitij Bansal

Who trusts Stanislas Polu overall

  1. Albert Qiaochu Jiang
  2. Sean Welleck
  3. Yuhuai Wu
  4. Jesse Michael Han
  5. Zhangir Azerbayev
  6. Eric Zelikman
  7. Wenda Li
  8. Kunhao Zheng
  9. Kaiyu Yang
  10. Guillaume Lample

Papers from Stanislas Polu's perspective

Ordered by how strongly the researchers Stanislas Polu 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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