Luca Corinzia

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Luca Corinzia trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Tom Minka
  6. Yoshua Bengio
  7. Ronan Collobert
  8. Alex Krizhevsky
  9. L. Eon Bottou
  10. Max Welling

Who trusts Luca Corinzia overall

  1. Filip Hanzely
  2. Daliang Li
  3. Qinbin Li
  4. Alysa Ziying Tan
  5. Hangyu Zhu
  6. Mang Ye
  7. Jie Xu
  8. Peter Richtárik
  9. Junpu Wang
  10. Zeyi Wen

Papers from Luca Corinzia's perspective

Ordered by how strongly the researchers Luca Corinzia 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers