Christopher J. Solomon

Artificial Intelligence · 2011–2017

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 Christopher J. Solomon 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 Christopher J. Solomon's perspective

Ordered by how strongly the researchers Christopher J. Solomon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Going deeper with convolutions
  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. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Receptive fields and functional architecture of monkey striate cortex
  10. Long Short-Term Memory

Their papers