Can Machine Learning Pipelines Be Better Configured?
A Machine Learning (ML) pipeline configures the workflow of a learning task using the APIs
provided by ML libraries. However, a pipeline's performance can vary significantly across …
provided by ML libraries. However, a pipeline's performance can vary significantly across …
Investigating and Detecting Silent Bugs in PyTorch Programs
Deep Learning (DL) has been widely applied in various fields. Unlike traditional software,
DL programs possess the “black box” characteristic that can make it challenging for …
DL programs possess the “black box” characteristic that can make it challenging for …
Using Run-Time Information to Enhance Static Analysis of Machine Learning Code in Notebooks
A prevalent method for develo** machine learning (ML) prototypes involves the use of
notebooks. Notebooks are sequences of cells containing both code and natural language …
notebooks. Notebooks are sequences of cells containing both code and natural language …