Samriddhi Shakya

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samriddhi Shakya trusts overall

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

  1. Scott Aaronson
  2. Simon S. Haykin
  3. Marc'Aurelio Ranzato

Who trusts Samriddhi Shakya overall

  1. Tak Hur

Papers from Samriddhi Shakya's perspective

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

  1. GradientBased Learning Applied to Document Recognition
  2. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
  3. Read the fine print (Nature Physics)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers