Elise van der Pol

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 148 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Elise van der Pol trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jimmy Ba
  5. Alex Krizhevsky
  6. Max Welling
  7. Yann LeCun
  8. Ilya Sutskever
  9. Kaiming He
  10. J. Urgen Schmidhuber

Who trusts Elise van der Pol overall

  1. Allan Jabri
  2. Anand Gopalakrishnan
  3. Tianyu Gao
  4. Phúc H. Lê Khắc
  5. Adam Stooke
  6. Yifeng Zhu
  7. Nan Rosemary Ke
  8. Anirudh Goyal
  9. Zhuoran Qiao
  10. Qian Huang

Papers from Elise van der Pol's perspective

Ordered by how strongly the researchers Elise van der Pol trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers