Model Assertions for Monitoring and Improving ML Models

3 March 2020

Peter Bailis

Papers citing "Model Assertions for Monitoring and Improving ML Models"

22 / 22 papers shown

Title
Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems Alexander W. Lee Justin Chan Michael Fu Nicolas Kim Akshay Mehta Deepti Raghavan Ugur Cetintemel 31 0 0 01 Mar 2025
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 77 0 0 09 Dec 2024
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing Nikhil P Ghanathe Steven J E Wilton 33 0 0 16 Nov 2024
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines Arnav Singhvi Manish Shetty Shangyin Tan Christopher Potts Koushik Sen Matei A. Zaharia Omar Khattab 25 17 0 20 Dec 2023
MGit: A Model Versioning and Management System Wei Hao Daniel Mendoza Rafael Ferreira da Silva Deepak Narayanan Amar Phanishayee VLM 27 1 0 14 Jul 2023
Framework for Certification of AI-Based Systems Maxime Gariel Brian Shimanuki R. Timpe E. Wilson 22 8 0 21 Feb 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 32 4 0 31 Jan 2023
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions Lingjiao Chen Zhihua Jin Sabri Eyuboglu Christopher Ré Matei A. Zaharia James Zou 53 9 0 18 Sep 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 27 18 0 10 Feb 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 50 127 0 19 Oct 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning Raul Sena Ferreira J. Arlat Jérémie Guiochet H. Waeselynck 43 26 0 04 Oct 2021
Enabling SQL-based Training Data Debugging for Federated Learning Yejia Liu Weiyuan Wu Lampros Flokas Jiannan Wang Eugene Wu FedML 23 15 0 26 Aug 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen Tracy Cai Matei A. Zaharia James Zou 20 17 0 29 Jul 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 27 1 0 05 Apr 2021
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild Rajdeep Mukherjee Shreyas Shetty S. Chattopadhyay Subhadeep Maji S. Datta Pawan Goyal 35 14 0 23 Jan 2021
Enabling Collaborative Data Science Development with the Ballet Framework Micah J. Smith Jürgen Cito Kelvin Lu K. Veeramachaneni 27 8 0 14 Dec 2020
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation Venice Erin Liong Thi Ngoc Tho Nguyen S. Widjaja Dhananjai Sharma Z. J. Chong 3DPC 139 110 0 09 Dec 2020
MCAL: Minimum Cost Human-Machine Active Labeling Hang Qiu Krishna Chintalapudi Ramesh Govindan 9 3 0 24 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 30 0 0 29 May 2020
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-Temporal Models Y. M. Souto R. S. Pereira Rocío Zorrilla A. Silva Brian Tsan Florin Rusu Eduardo S. Ogasawara A. Ziviani Fábio Porto 8 1 0 22 May 2020
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 32 43 0 12 Apr 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,842 0 03 Feb 2017