Antonio Polino

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Antonio Polino trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Dan Alistarh
  4. Alex Krizhevsky
  5. Xundong Wu
  6. Ilya Sutskever
  7. Oriol Vinyals
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Antonio Polino overall

  1. Sungho Shin
  2. Yoonho Boo
  3. Gaurav Menghani
  4. Mary Phuong
  5. Chaim Baskin
  6. Yuhang Li
  7. Ze Yang
  8. Yonggan Fu
  9. Nikolaos Passalis
  10. Guang Yang

Papers from Antonio Polino's perspective

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

Their papers