Renze Lou

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Renze Lou trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Kaiming He
  7. Yann LeCun
  8. Alex Graves
  9. Jimmy Ba
  10. Sepp Hochreiter

Papers from Renze Lou's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Language Models are Unsupervised Multitask Learners
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers