Pietro Laface

Artificial Intelligence · 2007–2013

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pietro Laface trusts overall

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

  1. Patrick Kenny
  2. Geoffrey E. Hinton
  3. Najim Dehak
  4. Li Deng
  5. Andrew O. Hatch
  6. Jason W. Pelecanos
  7. Daniel Garcia-Romero
  8. Simon J. D. Prince
  9. Pierre Ouellet

Papers from Pietro Laface's perspective

Ordered by how strongly the researchers Pietro Laface 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Long Short-Term Memory
  6. Training Products of Experts by Minimizing Contrastive Divergence
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers