Sen Song

Artificial Intelligence · with Cheng · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Song trusts

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

  1. Sergey Levine (in Artificial Intelligence)
  2. Stefan Schaal (in Reinforcement Learning)
  3. Jan Peters (in Reinforcement Learning)

Papers from Sen Song's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  8. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers