Jiate Liu

Reinforcement Learning · 2023

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

Subfields

• Reinforcement Learning — 6 citations into it

Whom Jiate Liu trusts overall

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

1. Richard S. Sutton
2. Yue Wang
3. Alec Radford
4. Geoffrey E. Hinton
5. Andrew Barto
6. Diederik P. Kingma
7. Yoshua Bengio
8. Ilya Sutskever
9. Wasi Uddin Ahmad
10. Alex Krizhevsky

Papers from Jiate Liu's perspective

Ordered by how strongly the researchers Jiate Liu 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. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Language Models are Unsupervised Multitask Learners
10. ImageNet: A large-scale hierarchical image database

Their papers

• RLTF: Reinforcement Learning from Unit Test Feedback (2023) — 134 citations