Marco Casadio

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Casadio trusts overall

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

  1. Xiaowei Huang
  2. Diederik P. Kingma
  3. Ian J. Goodfellow
  4. Shixiang Shane Gu
  5. Timon Gehr
  6. Christian Szegedy
  7. Jimmy Ba
  8. Han Xiao
  9. Geoffrey E. Hinton
  10. Gagandeep Singh

Who trusts Marco Casadio overall

  1. Emily Dinan

Papers from Marco Casadio's perspective

Ordered by how strongly the researchers Marco Casadio 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Intriguing properties of neural networks

Their papers