Alberto Testoni

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto Testoni trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. George A. Miller (in Natural Language Processing)
  3. Samuel R. Bowman (in Artificial Intelligence)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. Christopher D. Manning (in Artificial Intelligence)

Papers from Alberto Testoni's perspective

Ordered by how strongly the researchers Alberto Testoni 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. Long Short-Term Memory
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. GloVe: Global Vectors for Word Representation
  6. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  7. ImageNet classification with deep convolutional neural networks
  8. Fast R-CNN
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers