Vageesh Kumar Saxena

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vageesh Kumar Saxena trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Stephen Merity
  4. Richard Socher
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Sebastian Ruder
  10. Kaiming He

Who trusts Vageesh Kumar Saxena overall

  1. Mor Geva

Papers from Vageesh Kumar Saxena's perspective

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

Their papers