Tushar Pankaj

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tushar Pankaj trusts overall

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

  1. Matthew D. Zeiler
  2. Morgan Quigley
  3. Sergey Ioffe
  4. Yann LeCun
  5. Stéphane Ross
  6. Geoffrey E. Hinton
  7. Christian Szegedy
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. R. Caruana

Who trusts Tushar Pankaj overall

  1. Ardi Tampuu

Papers from Tushar Pankaj's perspective

Ordered by how strongly the researchers Tushar Pankaj 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. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers