Marco Damonte

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 144 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Damonte trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Dzmitry Bahdanau
  6. Percy Liang
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Kyunghyun Cho

Who trusts Marco Damonte overall

  1. Tian-ming Wang
  2. Yanbin Zhao
  3. Leonardo F. R. Ribeiro
  4. Xiaojun Wan
  5. Lu Chen
  6. Hanqi Jin
  7. Hamza Harkous
  8. Emma Manning
  9. Chao Zhao
  10. Luyang huang

Papers from Marco Damonte's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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