Yi-Hsun Su
Artificial Intelligence · 2001–2020
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Reinforcement Learning — 29 citations into it
- Management Science and Operations Research — 21 citations into it
- Statistics and Probability — 10 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Information Systems — 6 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Yi-Hsun Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adith Swaminathan
- Thorsten Joachims
- J. Langford
- Lihong Li
- Richard S. Sutton
- Philip S. Thomas
- Alina Beygelzimer
- Miroslav Dud'ik
- Alekh Agarwal
- James M. Robins
Who trusts Yi-Hsun Su overall
Papers from Yi-Hsun Su's perspective
Ordered by how strongly the researchers Yi-Hsun Su trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Off-policy Bandits with Deficient Support (2020) — 88 citations
- CAB: Continuous Adaptive Blending for Policy Evaluation and Learning (2019) — 91 citations
- Pricing American Options: A Comparison of Monte Carlo Simulation Approaches ⁄ (2001) — 155 citations