Co-occurring keywords · papers mentioning both
Papers
Lazy Testing of Machine-Learning Models
IJCAI 2025
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
NeurIPS 2024
Adaptive Testing of Computer Vision Models
ICCV 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation
ACL 2023
Beyond Testers’ Biases: Guiding Model Testing with Knowledge Bases using LLMs
EMNLP 2023
3DB: A Framework for Debugging Computer Vision Models
NeurIPS 2022
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data
JMLR 2022
TabPert : An Effective Platform for Tabular Perturbation
EMNLP 2021
Algebraic tests of general Gaussian latent tree models
NeurIPS 2018
Learning and Testing Causal Models with Interventions
NeurIPS 2018
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables
ICML 2017