Lance Zhang

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Reinforcement Learning — 16 citations into it

Whom Lance Zhang trusts overall

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

1. Ajay Mandlekar
2. Sergey Levine
3. Dean A. Pomerleau
4. Yuke Zhu

Papers from Lance Zhang's perspective

Ordered by how strongly the researchers Lance Zhang 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Going deeper with convolutions
10. GENERATIVE ADVERSARIAL NETS

Their papers

• RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots (2024) — 419 citations