Anuj Karpatne

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 10 papers; trusts 87 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Anuj Karpatne trusts overall

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

  1. Ankush Khandelwal
  2. Eric R. Ziegel
  3. Vipin Kumar
  4. Everette S. Gardner Jr.
  5. James H. Faghmous
  6. Geoffrey E. Hinton
  7. Matthew D. Zeiler
  8. Eamonn J. Keogh
  9. Clive W. J. Granger
  10. Sinno Jialin Pan

Who trusts Anuj Karpatne overall

  1. Jared D. Willard
  2. Gowtham Atluri
  3. Vipin Kumar
  4. Xiaowei Jia
  5. Shaoming Xu
  6. Michael S. Steinbach
  7. T.G. Ritto
  8. D. Finol
  9. Dapeng Feng
  10. Karthik Kashinath

Papers from Anuj Karpatne's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Et al

Their papers