L. Elisa Celis

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 9 papers; trusts 343 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom L. Elisa Celis trusts overall

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

  1. Alex Kulesza
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. David G. Lowe
  5. Chin-Yew Lin
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Cynthia Dwork
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts L. Elisa Celis overall

  1. Lingxiao Huang
  2. Nisheeth K. Vishnoi
  3. Manish Raghavan
  4. Vijay Keswani
  5. Dana Pessach
  6. Anay Mehrotra
  7. Sahin Cem Geyik
  8. Pranjal Awasthi
  9. Alexandra Chouldechova
  10. Harikrishna Narasimhan

Papers from L. Elisa Celis's perspective

Ordered by how strongly the researchers L. Elisa Celis 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers