Tharun Mohandoss

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tharun Mohandoss trusts overall

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

  1. Christian Borgelt
  2. Leo Breiman
  3. Jerome H. Friedman
  4. James Bergstra
  5. William W. Cohen

Papers from Tharun Mohandoss's perspective

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

  1. Learning representations by back-propagating errors
  2. ImageNet classification with deep convolutional neural networks
  3. Random Forests
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Scikit-learn: Machine Learning in Python
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Their papers