Machine Learning Model Drift Detection Via Weak Data Slices
- Samuel Ackerman
- Parijat Dube
- et al.
- 2021
- ICSE 2021
Workshop paper
Publications
88 results for AI Testing
Testing Framework for Black-box AI Models
- Aniya Aggarwal
- Samiulla Shaikh
- et al.
- 2021
- ICSE 2021
Demo paperGenerate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
- Nishtha Madaan
- Inkit Padhi
- et al.
- 2021
- AAAI 2021
Conference paperVerifying individual fairness in machine learning models
- Philips George John
- Deepak Vijaykeerthy
- et al.
- 2020
- UAI 2020
Conference paperQuality Management of Machine Learning Systems
- Peter Santhanam
- 2020
- AAAI 2020
Workshop paperReliable Counterfactual Explanations for Autoencoder based Anomalies
- Swastik Haldar
- Philips George John
- et al.
- 2021
- CODS-COMAD 2021
Conference paperLaSO: Label-Set Operations networks for multi-label few-shot learning
- Amit Alfassy
- Leonid Karlinsky
- et al.
- 2019
- CVPR 2019
Conference paperDetection of data 'drift' over time affecting ML model performance
- Samuel Ackerman
- Orna Raz
- et al.
- 2019
- ISA Annual Meeting 2019
Invited talk