Showing 1–20 of 21 results
/ Date/ Name
Mar 20, 2018The Three Pillars of Machine ProgrammingMar 24, 2020Context-Aware Parse TreesJan 9, 2018Precision and Recall for Range-Based Anomaly DetectionApr 2, 2020Software Language Comprehension using a Program-Derived Semantics GraphJan 9, 2018Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly DetectionJan 9, 2018Paranom: A Parallel Anomaly Dataset GeneratorSep 17, 2017AI Programmer: Autonomously Creating Software Programs Using Genetic AlgorithmsOct 31, 2019An Abstraction-Based Framework for Neural Network VerificationMar 29, 2019MLSys: The New Frontier of Machine Learning SystemsApr 26, 2021Toward Code Generation: A Survey and Lessons from Semantic ParsingMar 8, 2018Precision and Recall for Time SeriesAug 22, 2019Learning Fitness Functions for Machine ProgrammingOct 12, 2020A Skew-Sensitive Evaluation Framework for Imbalanced Data ClassificationApr 28, 2020Learned Garbage CollectionApr 14, 2022MP-CodeCheck: Evolving Logical Expression Code Anomaly Learning with Iterative Self-SupervisionNov 6, 2020ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control StructuresJun 5, 2020MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics StructureDec 6, 2021Simulation Intelligence: Towards a New Generation of Scientific MethodsJan 18, 2018Toward Scalable Verification for Safety-Critical Deep NetworksSep 21, 2017A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions