Priyam Tejaswin

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Priyam Tejaswin trusts overall

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

  1. Shashi Narayan
  2. Sebastian Gehrmann
  3. Alexander R. Fabbri
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Richard Socher
  7. Shay B. Cohen
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Wojciech Kryscinski

Papers from Priyam Tejaswin's perspective

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

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

Their papers