Pankaj Mehta

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Pankaj Mehta trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. L. Eon Bottou
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Ilya Sutskever
  7. Radford M. Neal
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Jerome H. Friedman

Who trusts Pankaj Mehta overall

  1. Shuo-Hui Li
  2. Pejman Khadivi
  3. Iris Cong
  4. Vedran Dunjko
  5. Jacob D. Biamonte
  6. Naftali Tishby
  7. Lei Wang
  8. Giuseppe Carleo
  9. Nathan Oken Hodas
  10. Xianglin Liu

Papers from Pankaj Mehta's perspective

Ordered by how strongly the researchers Pankaj Mehta 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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