Co-occurring keywords · papers mentioning both
Papers
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants’ Question-Answering in Asynchronous Learning Environments
EMNLP 2025
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
AISTATS 2025
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
ACL 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance
JMLR 2023
Stop Measuring Calibration When Humans Disagree
EMNLP 2022
Active Bayesian Assessment of Black-Box Classifiers
AAAI 2021
Recalibrating classifiers for interpretable abusive content detection
EMNLP 2020
$β^3$-IRT: A New Item Response Model and its Applications
AISTATS 2019
Cold Case: The Lost MNIST Digits
NeurIPS 2019
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward
AAAI 2019
An Active Search Strategy for Efficient Object Class Detection
CVPR 2015
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration
CVPR 2013
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
AISTATS 2012
Unsupervised Supervised Learning II: Margin-Based Classification without Labels
AISTATS 2011
Permutation Tests for Studying Classifier Performance
JMLR 2010
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models
JMLR 2009
An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons
JMLR 2008
Statistical Comparisons of Classifiers over Multiple Data Sets
JMLR 2006