Abstract is missing.
- The ML Data Prep Zoo: Towards Semi-Automatic Data Preparation for MLVraj Shah, Arun Kumar 0001. [doi]
- CrossTrainer: Practical Domain Adaptation with Loss ReweightingJustin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis. [doi]
- Expressiveness of Matrix and Tensor Query Languages in terms of ML OperatorsPablo Barceló, Nelson Higuera, Jorge Pérez 0001, Bernardo Subercaseaux. [doi]
- Automated Management of Deep Learning ExperimentsGharib Gharibi, Vijay Walunj, Rakan Alanazi, Sirisha Rella, Yugyung Lee. [doi]
- Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration ApproachKi Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang. [doi]
- MLearn: A Declarative Machine Learning Language for Database SystemsMaximilian E. Schüle, Matthias Bungeroth, Alfons Kemper, Stephan Günnemann, Thomas Neumann 0001. [doi]
- NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine LearningVijay S. Kumar, Paul Cuddihy, Kareem S. Aggour. [doi]
- Debugging Machine Learning PipelinesRaoni Lourenço, Juliana Freire, Dennis E. Shasha. [doi]
- DROP: A Workload-Aware Optimizer for Dimensionality ReductionSahaana Suri, Peter Bailis. [doi]
- Cerebro: Efficient and Reproducible Model Selection on Deep Learning SystemsSupun Nakandala, Yuhao Zhang, Arun Kumar. [doi]
- Osprey: Weak Supervision of Imbalanced Extraction Problems without CodeEran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré. [doi]