Calibration improves detection of mislabeled examples
Fuente:
arXiv
Saved in:
| Main Authors: | Chibane, Ilies, George, Thomas, Nodet, Pierre, Lemaire, Vincent |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
by: George, Thomas, et al.
Published: (2024)
by: George, Thomas, et al.
Published: (2024)
Temporal Sepsis Modeling: a Relational and Explainable-by-Design Framework
by: Lemaire, Vincent, et al.
Published: (2026)
by: Lemaire, Vincent, et al.
Published: (2026)
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment
by: Troisemaine, Colin, et al.
Published: (2024)
by: Troisemaine, Colin, et al.
Published: (2024)
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
by: Hoarau, Arthur, et al.
Published: (2024)
by: Hoarau, Arthur, et al.
Published: (2024)
Per-example gradients: a new frontier for understanding and improving optimizers
by: Roulet, Vincent, et al.
Published: (2025)
by: Roulet, Vincent, et al.
Published: (2025)
A new Input Convex Neural Network with application to options pricing
by: Lemaire, Vincent, et al.
Published: (2024)
by: Lemaire, Vincent, et al.
Published: (2024)
Pairwise matrices for sparse autoencoders: single-feature inspection mislabels causal axes
by: Riegler, Michael A., et al.
Published: (2026)
by: Riegler, Michael A., et al.
Published: (2026)
Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
by: Renault, Aurélien, et al.
Published: (2025)
by: Renault, Aurélien, et al.
Published: (2025)
Early Classification of Time Series: A Survey and Benchmark
by: Renault, Aurélien, et al.
Published: (2024)
by: Renault, Aurélien, et al.
Published: (2024)
Early Classification of Time Series in Non-Stationary Cost Regimes
by: Renault, Aurélien, et al.
Published: (2026)
by: Renault, Aurélien, et al.
Published: (2026)
SPGD: Steepest Perturbed Gradient Descent Optimization
by: Vahedi, Amir M., et al.
Published: (2024)
by: Vahedi, Amir M., et al.
Published: (2024)
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers
by: Lemaire, Vincent, et al.
Published: (2023)
by: Lemaire, Vincent, et al.
Published: (2023)
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
by: George, Thomas, et al.
Published: (2022)
by: George, Thomas, et al.
Published: (2022)
Filtering out mislabeled training instances using black-box optimization and quantum annealing
by: Otsuka, Makoto, et al.
Published: (2025)
by: Otsuka, Makoto, et al.
Published: (2025)
A Practical Approach to Novel Class Discovery in Tabular Data
by: Troisemaine, Colin, et al.
Published: (2023)
by: Troisemaine, Colin, et al.
Published: (2023)
On Forgetting and Stability of Score-based Generative models
by: Strasman, Stanislas, et al.
Published: (2026)
by: Strasman, Stanislas, et al.
Published: (2026)
Evidential uncertainty sampling for active learning
by: Hoarau, Arthur, et al.
Published: (2023)
by: Hoarau, Arthur, et al.
Published: (2023)
Interpretable Quantile Regression by Optimal Decision Trees
by: Lemaire, Valentin, et al.
Published: (2026)
by: Lemaire, Valentin, et al.
Published: (2026)
Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation
by: Hamon, Marine, et al.
Published: (2025)
by: Hamon, Marine, et al.
Published: (2025)
An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)
by: Strasman, Stanislas, et al.
Published: (2024)
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
by: Renault, Aurélien, et al.
Published: (2024)
by: Renault, Aurélien, et al.
Published: (2024)
Wasserstein Convergence of Critically Damped Langevin Diffusions
by: Strasman, Stanislas, et al.
Published: (2025)
by: Strasman, Stanislas, et al.
Published: (2025)
Ground tracking for improved landmine detection in a GPR system
by: Tang, Li, et al.
Published: (2025)
by: Tang, Li, et al.
Published: (2025)
A Probabilistic U-Net Approach to Downscaling Climate Simulations
by: Alipourhajiagha, Maryam, et al.
Published: (2025)
by: Alipourhajiagha, Maryam, et al.
Published: (2025)
Fast and Scalable Score-Based Kernel Calibration Tests
by: Glaser, Pierre, et al.
Published: (2025)
by: Glaser, Pierre, et al.
Published: (2025)
Multitask learning for improved scour detection: A dynamic wave tank study
by: Brealy, Simon M., et al.
Published: (2024)
by: Brealy, Simon M., et al.
Published: (2024)
SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse
by: Dang, Trung-Anh, et al.
Published: (2025)
by: Dang, Trung-Anh, et al.
Published: (2025)
Active learning from positive and unlabeled examples
by: Mansouri, Farnam, et al.
Published: (2026)
by: Mansouri, Farnam, et al.
Published: (2026)
Robust Decision Making with Partially Calibrated Forecasts
by: Kiyani, Shayan, et al.
Published: (2025)
by: Kiyani, Shayan, et al.
Published: (2025)
Uncertainty Calibration of Multi-Label Bird Sound Classifiers
by: Schwinger, Raphael, et al.
Published: (2025)
by: Schwinger, Raphael, et al.
Published: (2025)
Emergent properties with repeated examples
by: Charton, François, et al.
Published: (2024)
by: Charton, François, et al.
Published: (2024)
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI
by: Spagnolo, Federico, et al.
Published: (2024)
by: Spagnolo, Federico, et al.
Published: (2024)
Confidence Calibration in Vision-Language-Action Models
by: Zollo, Thomas P, et al.
Published: (2025)
by: Zollo, Thomas P, et al.
Published: (2025)
Deep-testing: the case of dependence detection
by: Geenens, Gery, et al.
Published: (2026)
by: Geenens, Gery, et al.
Published: (2026)
Feedback-driven object detection and iterative model improvement
by: Tenckhoff, Sönke, et al.
Published: (2024)
by: Tenckhoff, Sönke, et al.
Published: (2024)
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
by: Tassopoulou, Vasiliki, et al.
Published: (2025)
by: Tassopoulou, Vasiliki, et al.
Published: (2025)
Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation
by: Zollo, Thomas, et al.
Published: (2026)
by: Zollo, Thomas, et al.
Published: (2026)
Towards Certification of Uncertainty Calibration under Adversarial Attacks
by: Emde, Cornelius, et al.
Published: (2024)
by: Emde, Cornelius, et al.
Published: (2024)
Anomaly detection by partitioning of multi-variate time series
by: Lotte, Pierre, et al.
Published: (2025)
by: Lotte, Pierre, et al.
Published: (2025)
Learning from positive and unlabeled examples -Finite size sample bounds
by: Mansouri, Farnam, et al.
Published: (2025)
by: Mansouri, Farnam, et al.
Published: (2025)
Similar Items
-
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
by: George, Thomas, et al.
Published: (2024) -
Temporal Sepsis Modeling: a Relational and Explainable-by-Design Framework
by: Lemaire, Vincent, et al.
Published: (2026) -
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment
by: Troisemaine, Colin, et al.
Published: (2024) -
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
by: Hoarau, Arthur, et al.
Published: (2024) -
Per-example gradients: a new frontier for understanding and improving optimizers
by: Roulet, Vincent, et al.
Published: (2025)