Vighnesh Leonardo Shiv

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Vighnesh Leonardo Shiv trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Oriol Vinyals
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Alex Graves
  9. Kyunghyun Cho
  10. Richard Socher

Who trusts Vighnesh Leonardo Shiv overall

  1. Derya Soydaner
  2. Markus Norman Rabe
  3. Dennis Lee
  4. Wasi Uddin Ahmad
  5. Seohyun Kim
  6. Kshitij Bansal
  7. Christian Szegedy
  8. Saikat Chakraborty
  9. Jinman Zhao
  10. Yichen Xu

Papers from Vighnesh Leonardo Shiv's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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