Paolo Rosso

Artificial Intelligence · 1867–2019

A researcher in the Science corpus: 12 papers; trusts 32 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Rosso trusts overall

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

  1. Geoffrey E. Hinton
  2. George A. Miller
  3. Ted Pedersen
  4. Andreas Stolcke
  5. Moshe Koppel
  6. Kaiming He
  7. Dong Nguyen
  8. Yoshua Bengio
  9. James W. Pennebaker
  10. Sergey Ioffe

Who trusts Paolo Rosso overall

  1. Pum-Mo Ryu
  2. Shachar Mirkin
  3. Bertie Vidgen
  4. Zhirong Wu
  5. Saif M. Mohammad
  6. Dong Nguyen

Papers from Paolo Rosso's perspective

Ordered by how strongly the researchers Paolo Rosso 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers