Jason Gross

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Gross trusts overall

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

  1. Geoffrey E. Hinton
  2. Ruslan Salakhutdinov
  3. Yann LeCun
  4. Simon S. Haykin

Who trusts Jason Gross overall

  1. Chelsea Finn
  2. Ruslan Salakhutdinov
  3. Sergey Levine
  4. Matthew Riemer
  5. Mikhail Khodak
  6. Han-Jia Ye
  7. Brenden M. Lake
  8. Giacomo Spigler
  9. Gregory R. Koch
  10. Sangwon Jung

Papers from Jason Gross's perspective

Ordered by how strongly the researchers Jason Gross trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. GradientBased Learning Applied to Document Recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Deep Boltzmann Machines
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers