Aswin Raghavan

Artificial Intelligence · 2022

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

Subfields

Whom Aswin Raghavan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Oriol Vinyals
  4. James Smith
  5. Richard S. Sutton
  6. Tyler L. Hayes
  7. Yoshua Bengio
  8. Volodymyr Mnih
  9. Alex Krizhevsky
  10. Max Welling

Papers from Aswin Raghavan's perspective

Ordered by how strongly the researchers Aswin Raghavan 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers