H. Khader

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Khader trusts

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

  1. Jeffrey L. Elman (in Model Architectures)
  2. Luke S. Zettlemoyer (in Natural Language Processing)
  3. Raymond J. Mooney (in Natural Language Processing)
  4. Diederik P. Kingma (in Artificial Intelligence)

Papers from H. Khader's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Finding Structure in Time
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Learning to Interpret Natural Language Navigation Instructions from Observations
  10. Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions

Their papers