Vivek Jayaram

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Vivek Jayaram trusts overall

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

  1. Alex Krizhevsky
  2. Radford M. Neal
  3. Yang Song
  4. Aäron van den Oord
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Max Welling
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Vivek Jayaram overall

  1. Sachin Kumar
  2. Karan Goel
  3. Biswajit Paria
  4. Albert Gu
  5. Yulia Tsvetkov
  6. Chris Donahue

Papers from Vivek Jayaram's perspective

Ordered by how strongly the researchers Vivek Jayaram 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. 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