Graham W.Taylor

Artificial Intelligence · with Asri · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Graham W.Taylor trusts

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

  1. Jimmy Ba (in Artificial Intelligence)
  2. Diederik P. Kingma (in Artificial Intelligence)

Papers from Graham W.Taylor's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Layer Normalization
  5. Microsoft COCO: Common Objects in Context
  6. GloVe: Global Vectors for Word Representation
  7. Conditional Generative Adversarial Nets
  8. Generative Adversarial Text to Image Synthesis
  9. Spectral Normalization for Generative Adversarial Networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers