A. Kaul

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kaul trusts overall

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

  1. Robert Tibshirani
  2. Nicolai Meinshausen
  3. Matthew Goble Smith
  4. Yvan Saeys
  5. Leo Breiman
  6. David L. Donoho
  7. P. Buehlmann
  8. Larry Bull
  9. Parikshit Sondhi
  10. Fabian Pedregosa

Who trusts A. Kaul overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Yi-Wei Chen
  4. Shubhra (Santu) Karmaker
  5. Qingquan Song

Papers from A. Kaul's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. ImageNet Large Scale Visual Recognition Challenge
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Scikit-learn: Machine Learning in Python
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers