Tanya Goyal

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 283 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Tanya Goyal trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Richard Socher
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Kaiming He
  10. Chin-Yew Lin

Who trusts Tanya Goyal overall

  1. Esin Durmus
  2. Faisal Ladhak
  3. Vidhisha Balachandran
  4. David Wan
  5. Yann Dubois
  6. Alexander R. Fabbri
  7. Ashwin Devaraj
  8. Tatsunori B. Hashimoto
  9. Tianyi Zhang
  10. Hannaneh Hajishirzi

Papers from Tanya Goyal's perspective

Ordered by how strongly the researchers Tanya Goyal 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers