Yao Lu
Artificial Intelligence · with Xu · 2022–2023
A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 190 citations into it
- Computer Vision and Pattern Recognition — 153 citations into it
- Reinforcement Learning — 122 citations into it
Whom Yao Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yao Lu's perspective
Ordered by how strongly the researchers Yao Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Et al
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Representation Learning with Contrastive Predictive Coding
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
Their papers
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (2022) — 3,376 citations
- RT-1: Robotics Transformer for Real-World Control at Scale (2022) — 2,545 citations
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
- PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale (2022) — 12 citations