Giulia Boato

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Giulia Boato trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Tero Karras
  4. Alec Radford
  5. Alessandro Piva
  6. Alex Krizhevsky

Who trusts Giulia Boato overall

  1. Luisa Verdoliva
  2. Wenhan Yang
  3. Wenjing Wang

Papers from Giulia Boato's perspective

Ordered by how strongly the researchers Giulia Boato 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. ImageNet: A large-scale hierarchical image database

Their papers