Eva Hasler

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 99 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Eva Hasler trusts overall

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

  1. Yoshua Bengio
  2. Kyunghyun Cho
  3. Ilya Sutskever
  4. Dzmitry Bahdanau
  5. Rico Sennrich
  6. Geoffrey E. Hinton
  7. Oriol Vinyals
  8. Tomas Mikolov
  9. Diederik P. Kingma
  10. Alex Graves

Who trusts Eva Hasler overall

  1. Felix Stahlberg
  2. Danielle Saunders
  3. Jiameng Gao
  4. Roee Aharoni
  5. Bill Byrne
  6. Akiko Eriguchi
  7. Jasmijn Bastings

Papers from Eva Hasler's perspective

Ordered by how strongly the researchers Eva Hasler 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. Long Short-Term Memory
  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