Lipika Dey

Artificial Intelligence · 2007–2017

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lipika Dey trusts overall

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

  1. Paul J. Werbos
  2. Clive W. J. Granger
  3. Anil K. Jain
  4. Shehroz S. Khan
  5. Xiao Ding
  6. Quoc V. Le
  7. Tian Zhang
  8. Martin Ester
  9. Joshua Zhexue Huang
  10. Johan Bollen

Who trusts Lipika Dey overall

  1. Zhiyong Li
  2. Javed Asharf
  3. Can Wang
  4. Rui Fan

Papers from Lipika Dey's perspective

Ordered by how strongly the researchers Lipika Dey 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers