Rahul Pandey

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Pandey trusts overall

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

  1. David M. Blei
  2. Jorge Nocedal
  3. Dekang Lin
  4. Jonathan D. Chang
  5. Ramnath Balasubramanyan
  6. Yan Liu
  7. Michael I. Jordan
  8. Ivan Titov
  9. Yehuda Koren
  10. Andrew Y. Ng

Who trusts Rahul Pandey overall

  1. Yongfeng Zhang
  2. Alec Radford
  3. Nikunj Saunshi
  4. Xu Chen
  5. Anastasia Pentina
  6. Qingyao Ai
  7. Scott Gray
  8. Jihun Choi
  9. Hu Xu
  10. Weiwei Liu

Papers from Rahul Pandey's perspective

Ordered by how strongly the researchers Rahul Pandey trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Latent Dirichlet Allocation
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers