Andrew O. Arnold

Artificial Intelligence · with Zhu · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew O. Arnold trusts

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

  1. Geoffrey E. Hinton (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Oriol Vinyals (in Artificial Intelligence)
  5. Kyunghyun Cho (in Artificial Intelligence)
  6. Jimmy Ba (in Artificial Intelligence)
  7. Ilya Sutskever (in Artificial Intelligence)
  8. Richard Socher (in Artificial Intelligence)
  9. Chin-Yew Lin (in Natural Language Processing)
  10. Christopher D. Manning (in Artificial Intelligence)

Papers from Andrew O. Arnold's perspective

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

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  2. Language Models are Unsupervised Multitask Learners
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Long Short-Term Memory
  10. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)

Their papers