Eric Tang

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Tang trusts

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

  1. Ilya Sutskever (in Artificial Intelligence)
  2. Charles M. Bishop (in Cognitive Science & Psychology)

Papers from Eric Tang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  6. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Decoupled Weight Decay Regularization
  9. Analysing Mathematical Reasoning Abilities of Neural Models
  10. Measuring Massive Multitask Language Understanding

Their papers