Meg Tong

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meg Tong trusts overall

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

  1. Radford M. Neal
  2. Stephanie C. Lin
  3. Sosuke Kobayashi
  4. Michael R Douglas
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Rico Sennrich
  9. Alex Krizhevsky
  10. Ilya Sutskever

Papers from Meg Tong's perspective

Ordered by how strongly the researchers Meg Tong 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. Language Models are Unsupervised Multitask Learners
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers