Matias Tassano

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matias Tassano trusts overall

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

  1. Diederik P. Kingma
  2. Andrew L. Maas
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yunjin Chen
  7. Kai Zhang
  8. Kaiming He
  9. Ross B. Girshick
  10. Jimmy Ba

Who trusts Matias Tassano overall

  1. Jingyun Liang

Papers from Matias Tassano's perspective

Ordered by how strongly the researchers Matias Tassano 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers