Damiano Zeffiro

Optimization & Training · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Damiano Zeffiro trusts overall

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

  1. Simon Lacoste-Julien
  2. Jérôme Bolte
  3. Martin Jaggi
  4. Zhi-Quan Tom Luo
  5. Hédy Attouch
  6. Philip Wolfe
  7. Paul Tseng

Papers from Damiano Zeffiro's perspective

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

Their papers