Kamal Deep Singh

Natural Language Processing · 2017

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

Subfields

Whom Kamal Deep Singh trusts

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

  1. Luke S. Zettlemoyer (in Natural Language Processing)

Papers from Kamal Deep Singh's perspective

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

  1. Paraphrase-Driven Learning for Open Question Answering
  2. Large-scale Simple Question Answering with Memory Networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers