Jake Garrison

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jake Garrison trusts overall

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

  1. Karol J. Piczak

Papers from Jake Garrison's perspective

Ordered by how strongly the researchers Jake Garrison 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. Scikit-learn: Machine Learning in Python
  4. Audio Set: An ontology and human-labeled dataset for audio events
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ESC: Dataset for Environmental Sound Classification
  8. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers