Pranjul Yadav

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pranjul Yadav trusts overall

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

  1. Jun Yan
  2. Stu Daultrey
  3. Hao Helen Zhang
  4. Chengqi Zhang
  5. Di Zhao
  6. Constantin F. Aliferis
  7. Thomas A. Lasko
  8. Miguel A. Hern'an
  9. Jochen Hipp
  10. Subramani Mani

Papers from Pranjul Yadav's perspective

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

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

Their papers