Tanay Dixit

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tanay Dixit trusts overall

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

  1. Ehud Reiter
  2. Maja Popovic
  3. Ananya B. Sai
  4. Yoshua Bengio
  5. T. Landauer
  6. Geoffrey E. Hinton
  7. Gabriel Forgues
  8. Ryan J. Lowe
  9. Vasile Rus
  10. Preksha Nema

Who trusts Tanay Dixit overall

  1. Sebastian Gehrmann

Papers from Tanay Dixit's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Bleu: a Method for Automatic Evaluation of Machine Translation
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Language Models are Unsupervised Multitask Learners

Their papers