Ivan Habernal

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 68 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan Habernal trusts overall

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

  1. Klaus Krippendorff
  2. Richard Socher
  3. Tomas Mikolov
  4. John C. Platt
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Jacob Eisenstein
  8. Dennis S. Gouran
  9. Yoshua Bengio
  10. Christopher D. Manning

Who trusts Ivan Habernal overall

  1. Timothy Niven
  2. Hung-Yu kao
  3. Iryna Gurevych
  4. Henning Wachsmuth
  5. Gregor Betz
  6. Emily Allaway
  7. Teresa Botschen
  8. Xuhui Zhou
  9. Jesse Dodge
  10. Meiqian Zhao

Papers from Ivan Habernal's perspective

Ordered by how strongly the researchers Ivan Habernal 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers