Audrey Huang
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it
- Reinforcement Learning — 37 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Control and Systems Engineering — 11 citations into it
- Management Science and Operations Research — 11 citations into it
- Statistics and Probability — 7 citations into it
- Computational Theory and Mathematics — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Audrey Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sham M. Kakade
- Ofir Nachum
- Richard S. Sutton
- Masatoshi Uehara
- Nan Jiang
- Lihong Li
- András Antos
- Tengyang Xie
- Hoang Minh Le
- Christoph Dann
Papers from Audrey Huang's perspective
Ordered by how strongly the researchers Audrey Huang 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Reinforcement Learning: An Introduction
Their papers
- Graph-Structured Visual Imitation (2019) — 79 citations
- Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions (2022) — 9 citations