Tony X. Liu

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tony X. Liu trusts

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

  1. Yejin Choi (in Artificial Intelligence)
  2. Chin-Yew Lin (in Natural Language Processing)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Yoshua Bengio (in Artificial Intelligence)
  5. Noah A. Smith (in Artificial Intelligence)
  6. Jimmy Ba (in Artificial Intelligence)
  7. Geoffrey E. Hinton (in Artificial Intelligence)
  8. Ilya Sutskever (in Artificial Intelligence)
  9. Quoc V. Le (in Artificial Intelligence)

Papers from Tony X. Liu's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Gradient-based learning applied to document recognition

Their papers