Interactive Machine Learning
Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.
- Power to the People: The Role of Humans in Interactive Machine Learning by Knox, Cakmak, Kulesza, Amershi, and Lau
- A Few Useful Things to Know about Machine Learning by Domingos
- Machine Learning that Matters by Wagstaff
- Beyond Concise and Colorful: Learning Intelligible Rules by Pazzani et al.
- [Designing Games with a Purpose] (https://www.cs.cmu.edu/~biglou/GWAP_CACM.pdf) by von Ahn and Dabbish
- Human Model Evaluation in Interactive Supervised Learning by Fiebrink et al.
- EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers by Talbot et al
- A Survey of Robot Learning from Demonstration by Argall et al.
- Reinforcement Learning from Human Reward: Discounting in Episodic Tasks by Knox and Stone
- Semi-supervised Clustering with User Feedback by Cohn et al.
- Automatic State Abstraction from Demonstration by Cobo et al.
- Shifting viewpoints: Artificial intelligence and human–computer interaction by Winograd