Amir Shpilka

Algorithms & Complexity · 2007–2010

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Shpilka trusts overall

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

  1. Sanjeev Arora
  2. Boaz Barak
  3. Leslie G. Valiant
  4. Valentine Kabanets

Who trusts Amir Shpilka overall

  1. Raman Arora
  2. Gregory Valiant
  3. Ronen Eldan
  4. James Martens

Papers from Amir Shpilka's perspective

Ordered by how strongly the researchers Amir Shpilka 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. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. PRIMES is in P
  8. ImageNet: A large-scale hierarchical image database
  9. Computational Complexity: A Modern Approach
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers