Massimo Caccia

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 12 papers; trusts 688 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Massimo Caccia trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Kaiming He
  7. Alex Graves
  8. Marc'Aurelio Ranzato
  9. Rahaf Aljundi
  10. Ilya Sutskever

Who trusts Massimo Caccia overall

  1. Lucas Caccia
  2. Timothée Lesort
  3. Oleksiy Ostapenko
  4. Zhenyi Wang
  5. Jiangpeng He
  6. Xisen Jin
  7. Quang Pham
  8. Joelle Pineau
  9. Liyuan Wang
  10. Jorge Armando Mendez Mendez

Papers from Massimo Caccia's perspective

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

Their papers