Vinodkumar Prabhakaran

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 22 papers; trusts 194 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Vinodkumar Prabhakaran trusts overall

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

  1. Diederik P. Kingma
  2. Paul Ekman
  3. Geoffrey E. Hinton
  4. Zeerak Talat
  5. Yoshua Bengio
  6. David R. Thomas
  7. Jacob Devlin
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Tomas Mikolov

Who trusts Vinodkumar Prabhakaran overall

  1. Ben Hutchinson
  2. Paula Czarnowska
  3. Su Lin Blodgett
  4. Aida Mostafazadeh Davani
  5. Shaily Bhatt
  6. Pranav Narayanan Venkit
  7. Sunipa Dev
  8. Sayan Ghosh
  9. Negar Rostamzadeh
  10. Rebecca Qian

Papers from Vinodkumar Prabhakaran's perspective

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

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

Their papers