Joseph Marino

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Marino trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Danilo Jimenez Rezende
  8. Yann LeCun
  9. Max Welling
  10. Karol Gregor

Who trusts Joseph Marino overall

  1. Rishi Veerapaneni
  2. Nanbo Li
  3. Yibo Yang
  4. Junxian He
  5. Jun Han
  6. Julius von Kügelgen
  7. Yoon Kim
  8. Klaus Greff
  9. Francesco Locatello
  10. John D. Co-Reyes

Papers from Joseph Marino's perspective

Ordered by how strongly the researchers Joseph Marino 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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