Vikas Raunak

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 9 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vikas Raunak trusts overall

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

  1. Vitaly Feldman
  2. Maja Popovic
  3. Rico Sennrich
  4. Yoon Kim
  5. Barry Haddow
  6. Alexander M. Rush
  7. Chiyuan Zhang
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Vikas Raunak overall

  1. Chiyuan Zhang
  2. Amr Hendy
  3. Ziwei Ji
  4. Daphne Ippolito

Papers from Vikas Raunak's perspective

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

Their papers