Victoria Ngo

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victoria Ngo trusts overall

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

  1. Andriy Mnih
  2. Kevin Bleakley
  3. Glen Jeh

Papers from Victoria Ngo's perspective

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

  1. A Scalable Hierarchical Distributed Language Model
  2. SimRank: a measure of structural-context similarity (Knowledge Discovery and Data Mining)
  3. Supervised prediction of drug–target interactions using bipartite local models (Bioinform.)
  4. The human disease network
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. This PDF file includes: Materials and Methods
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers