Jessica Ficler

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Jessica Ficler trusts overall

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

  1. Sepp Hochreiter
  2. Rico Sennrich
  3. Tomas Mikolov
  4. Hongyuan Mei
  5. J. Urgen Schmidhuber
  6. Zhiting Hu
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Barry Haddow
  10. Ilya Sutskever

Who trusts Jessica Ficler overall

  1. Alisa Liu
  2. Xuezhi Wang
  3. Dian Yu
  4. Maarten Sap
  5. Arthur Bravzinskas
  6. Mohit Iyyer
  7. Xinyao Ma
  8. Alexey Romanov
  9. Vineet John
  10. Yejin Choi

Papers from Jessica Ficler's perspective

Ordered by how strongly the researchers Jessica Ficler trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers