Programming by demonstration: a machine learning approach

By Tessa A. Lau, Daniel S. Weld, Pedro M. Domingos. 2001

50 citations recorded by the source corpus.

Subfields: Robotics & Control

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Robotics & Control

1. Andreas Krause
2. Josh Tenenbaum

Citations in the corpus

• Learning programs from noisy data (2016, background): “, [18, 19]), these approaches cannot adequately deal with incorrect input as they attempt to satisfy all examples, thus overfitting to the data.”
• Write, Execute, Assess: Program Synthesis with a REPL (2019, background): “Learning programs that transform text is a classic program synthesis task [18] made famous by the FlashFill system, which ships in Microsoft Excel [14].”
• Dimensions in program synthesis (2010, unknown): “A good start in this direction has been made by Programming by demonstration systems that enable users to write programs by demonstrating the program on one or more concrete examples [13, 44].”