I. Two

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 I. Two trusts

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

  1. Kenneth L. Clarkson (in Artificial Intelligence)
  2. Burr Settles (in Evaluation & Benchmarks)
  3. Yusuke Shinohara (in Artificial Intelligence)

Papers from I. Two's perspective

Ordered by how strongly the researchers I. Two 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. Backpropagation Applied to Handwritten Zip Code Recognition
  3. Automatic differentiation in PyTorch
  4. Active Learning Literature Survey
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Active Learning for Convolutional Neural Networks: A Core-Set Approach
  10. An analysis of approximations for maximizing submodular set functions—I

Their papers