SapientML
Author:
Affiliation:
1. Fujitsu Research of America, Inc.
2. Fujitsu Ltd.
3. The University of Texas at Austin and Fujitsu Ltd.
4. University of Illinois at Urbana-Champaign
5. The University of Texas at Austin
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3510003.3510226
Reference52 articles.
1. Dynamic program slicing
2. AutoML.org. 2019. SMAC v3 Project. https://github.com/automl/SMAC3 Accessed in 2021 . AutoML.org. 2019. SMAC v3 Project. https://github.com/automl/SMAC3 Accessed in 2021.
3. Getafix: learning to fix bugs automatically
4. Bowen Baker Otkrist Gupta Nikhil Naik and Ramesh Raskar. 2017. Designing Neural Network Architectures using Reinforcement Learning. arXiv:1611.02167 [cs.LG] Bowen Baker Otkrist Gupta Nikhil Naik and Ramesh Raskar. 2017. Designing Neural Network Architectures using Reinforcement Learning. arXiv:1611.02167 [cs.LG]
5. Ensemble modelling or selecting the best model: Many could be better than one
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1. Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming;Algorithms;2024-07-01
2. On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning;Expert Systems with Applications;2024-04
3. AutoML from Software Engineering Perspective: Landscapes and Challenges;2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR);2023-05
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