Matteo Paltenghi

Information Systems · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matteo Paltenghi trusts overall

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

  1. Chun Xia
  2. Patrice Godefroid

Papers from Matteo Paltenghi's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Improving Language Understanding by Generative Pre-Training
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Long Short-Term Memory
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. The Curious Case of Neural Text Degeneration
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers