A. Kumar

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kumar trusts overall

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

  1. Richard Socher
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Geoffrey E. Hinton
  7. Kyunghyun Cho
  8. Sepp Hochreiter
  9. Alex Graves
  10. Christopher D. Manning

Who trusts A. Kumar overall

  1. Rajarshee Mitra
  2. Caiming Xiong
  3. Xiaodong Liu
  4. Qi Wu
  5. Greg Yang
  6. Jianfeng Gao
  7. Yoshua Bengio
  8. Kushal Kafle
  9. Richard Socher
  10. Dichao Hu

Papers from A. Kumar's perspective

Ordered by how strongly the researchers A. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers