Yi Tay

Artificial Intelligence · with Ainslie · 2022

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

Subfields

Whom Yi Tay trusts

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

  1. Noam Shazeer (in Artificial Intelligence)

Papers from Yi Tay's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
  8. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
  9. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Journal of machine learning research)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers