Amit Dhurandhar

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 9 papers; trusts 172 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Dhurandhar trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Diederik P. Kingma
  9. R. Caruana
  10. Ilya Sutskever

Who trusts Amit Dhurandhar overall

  1. Q. Liao
  2. Arnaud Van Looveren
  3. Amir-Hossein Karimi
  4. Nadia Burkart
  5. A. Yeung
  6. Francesco Bodria
  7. Gesina Schwalbe
  8. Federico Baldassarre
  9. Pin-Yu Chen
  10. Sahil Verma

Papers from Amit Dhurandhar's perspective

Ordered by how strongly the researchers Amit Dhurandhar 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers