Kshitiz Kumar

Artificial Intelligence · 2013

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 Kshitiz Kumar trusts overall

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

  1. Dong Yu
  2. Li Deng
  3. Geoffrey E. Hinton
  4. Hui Jiang
  5. George E. Dahl
  6. Petros Drineas
  7. Yoshua Bengio
  8. Corinna Cortes
  9. Abdel-rahman Mohamed
  10. Radford M. Neal

Papers from Kshitiz Kumar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers