Michele Catasta

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 7 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Catasta trusts overall

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

  1. Miltiadis Allamanis
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Oriol Vinyals
  7. Alex Krizhevsky
  8. Thomas Kipf
  9. Max Welling
  10. Yann LeCun

Papers from Michele Catasta's perspective

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

Their papers