Deepanshu Jindal

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deepanshu Jindal trusts overall

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

  1. Emily L. Denton
  2. Rong Jin
  3. Rasmus Berg Palm
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Oriol Vinyals
  7. Rob Fergus
  8. Yoshua Bengio
  9. Po-Wei Wang
  10. Zoubin Ghahramani

Papers from Deepanshu Jindal's perspective

Ordered by how strongly the researchers Deepanshu Jindal 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. ImageNet classification with deep convolutional neural networks
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers