Daniela Massiceti

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 167 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniela Massiceti trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Jimmy Ba
  10. Tomas Mikolov

Who trusts Daniela Massiceti overall

  1. John F. Bronskill
  2. Aliaksandra Shysheya
  3. Yuge Shi
  4. Massimiliano Patacchiola
  5. Siddharth Narayanaswamy

Papers from Daniela Massiceti's perspective

Ordered by how strongly the researchers Daniela Massiceti 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers