Stuart James Gibson

Artificial Intelligence · 2017

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 Stuart James Gibson trusts

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

  1. Andrew L. Maas (in Model Architectures)
  2. Christian Szegedy (in Artificial Intelligence)

Papers from Stuart James Gibson's perspective

Ordered by how strongly the researchers Stuart James Gibson 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. Going deeper with convolutions
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  7. Receptive fields and functional architecture of monkey striate cortex
  8. Independent consultant
  9. Baseline subtraction using robust local regression estimation
  10. Investigation of Selected Baseline Removal Techniques as Candidates for Automated Implementation (Applied Spectroscopy)

Their papers