Rossella Cancelliere

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 12 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rossella Cancelliere trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Oriol Vinyals
  5. Ronald J. Williams
  6. Ilya Sutskever
  7. Dzmitry Bahdanau
  8. Kyunghyun Cho
  9. Jimmy Ba
  10. Alex Krizhevsky

Papers from Rossella Cancelliere's perspective

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

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

Their papers