Shaobo Hou

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 99 citations into it
• Reinforcement Learning — 23 citations into it

Whom Shaobo Hou trusts overall

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

1. Richard S. Sutton
2. Ronald J. Williams
3. E. Todorov
4. Martin L. Puterman
5. Tuomas Haarnoja
6. Andrew Barto
7. Geoffrey E. Hinton
8. David Silver

Papers from Shaobo Hou's perspective

Ordered by how strongly the researchers Shaobo Hou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet: A large-scale hierarchical image database
4. Reinforcement Learning: An Introduction
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. ImageNet classification with deep convolutional neural networks
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. MuJoCo: A physics engine for model-based control

Their papers

• Underspecification Presents Challenges for Credibility in Modern Machine Learning (2020) — 897 citations
• The Option Keyboard: Combining Skills in Reinforcement Learning (2021) — 116 citations