Ankush Khandelwal

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ankush Khandelwal trusts overall

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

  1. J. Aslam
  2. William W. Cohen
  3. Cynthia Dwork
  4. Eric R. Ziegel
  5. Xiaoye Jiang
  6. Shyam Boriah
  7. Lawrence R. Rabiner
  8. Robert E. Schapire
  9. Mark H. Montague
  10. Yoshua Bengio

Who trusts Ankush Khandelwal overall

  1. Anuj Karpatne
  2. Gowtham Atluri
  3. Vipin Kumar
  4. I. Ebert‐Uphoff
  5. James H. Faghmous
  6. S. Ravela

Papers from Ankush Khandelwal's perspective

Ordered by how strongly the researchers Ankush Khandelwal 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. Gradient-based learning applied to document recognition
  5. Et al
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers