Adrian Shuai Li
Artificial Intelligence · 2014–2022
A researcher in the Science corpus: 5 papers; trusts 69 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #22,275 of 35,345 by trust here, #8,077 by citations
- Reinforcement Learning — 76 citations into it; #1,549 of 2,242 by trust here, #952 by citations
- Control and Systems Engineering — 40 citations into it; #5,258 of 8,257 by trust here, #964 by citations
- Computer Vision and Pattern Recognition — 31 citations into it
- Biomedical Engineering — 21 citations into it
- Robotics & Control — 21 citations into it
- Optimization & Training — 14 citations into it
- Computational Theory and Mathematics — 11 citations into it
Whom Adrian Shuai Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine
- Jan Peters
- Diederik P. Kingma
- Richard S. Sutton
- Geoffrey E. Hinton
- Hado van Hasselt
- Pieter Abbeel
- Yann LeCun
- J. Urgen Schmidhuber
- Yoshua Bengio
Who trusts Adrian Shuai Li overall
- Yuke Zhu
- Yuxi Li
- Ahmed Hussain Qureshi
- Ali Ghadirzadeh
- Jesse Thomason
- Linxi (Jim) Fan
- Abhinav Kumar Gupta
- Sergey Levine
Papers from Adrian Shuai Li's perspective
Ordered by how strongly the researchers Adrian Shuai Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Et al
Their papers
- Path integral guided policy search (2016) — 157 citations
- Asking for Help Using Inverse Semantics (2014) — 221 citations
- Collective robot reinforcement learning with distributed asynchronous guided policy search (2016) — 163 citations
- Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping (2019) — 60 citations
- PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale (2022) — 12 citations