Alice Mizrahi

Electrical and Electronic Engineering · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alice Mizrahi trusts overall

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

  1. David Attwell
  2. Emma Strubell

Papers from Alice Mizrahi's perspective

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

  1. Energy and Policy Considerations for Deep Learning in NLP
  2. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
  3. Gradient-based learning applied to document recognition
  4. Synaptic modification by correlated activity: Hebb's postulate revisited.
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
  8. Binarized Neural Networks
  9. Long Short-Term Memory
  10. An Energy Budget for Signaling in the Grey Matter of the Brain

Their papers