David Bieber
Google (United States)(US)
Publications by Year
Research Areas
Software Engineering Research, Topic Modeling, Software Testing and Debugging Techniques, Parallel Computing and Optimization Techniques, Machine Learning and Algorithms
Most-Cited Works
- → Neural Program Repair by Jointly Learning to Localize and Repair(2019)44 cited
- → PixColor: Pixel Recursive Colorization(2017)26 cited
- → Show Your Work: Scratchpads for Intermediate Computation with Language Models(2021)16 cited
- → Neural Networks for Modeling Source Code Edits(2019)12 cited
- → Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks(2020)10 cited
- Incremental Sampling Without Replacement for Sequence Models(2020)
- → TF-Coder: Program Synthesis for Tensor Manipulations(2022)5 cited
- → BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration(2020)5 cited