{"total":37,"rows":[{"id":"2106.13799","title":"Assessing Generalization of SGD via Disagreement","created":"2021-06-25","cited_by_count":117,"area":null},{"id":"2401.13744","title":"Conformal Prediction Sets Improve Human Decision Making","created":"2024-01-24","cited_by_count":35,"area":null},{"id":"2106.05932","title":"Early-stopped neural networks are consistent","created":"2021-06-10","cited_by_count":34,"area":null},{"id":"2207.08977","title":"Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift","created":"2022-07-18","cited_by_count":34,"area":null},{"id":"2305.18262","title":"Beyond Confidence: Reliable Models Should Also Consider Atypicality","created":"2023-05-29","cited_by_count":25,"area":null},{"id":"2203.01850","title":"T-Cal: An optimal test for the calibration of predictive models","created":"2022-03-03","cited_by_count":24,"area":null},{"id":"2402.05457","title":"It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition","created":"2024-02-08","cited_by_count":22,"area":null},{"id":"2202.03295","title":"Theoretical characterization of uncertainty in high-dimensional linear classification","created":"2022-02-07","cited_by_count":18,"area":null},{"id":"2210.12760","title":"On double-descent in uncertainty quantification in overparametrized models","created":"2022-10-23","cited_by_count":16,"area":null},{"id":"2309.16476","title":"High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality","created":"2023-09-28","cited_by_count":15,"area":null},{"id":"2106.05515","title":"Understanding the Under-Coverage Bias in Uncertainty Estimation","created":"2021-06-10","cited_by_count":10,"area":null},{"id":"2303.02644","title":"Expectation consistency for calibration of neural networks","created":"2023-03-05","cited_by_count":10,"area":null},{"id":"2306.04985","title":"Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping","created":"2023-06-08","cited_by_count":10,"area":null},{"id":"2308.04237","title":"Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction","created":"2023-08-08","cited_by_count":10,"area":null},{"id":"2403.00817","title":"Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random","created":"2024-02-26","cited_by_count":7,"area":null},{"id":"2402.08384","title":"Selective Learning: Towards Robust Calibration with Dynamic Regularization","created":"2024-02-13","cited_by_count":5,"area":null},{"id":"2205.04613","title":"Calibrating for Class Weights by Modeling Machine Learning","created":"2022-05-10","cited_by_count":4,"area":null},{"id":"2402.17655","title":"Confidence-Aware Multi-Field Model Calibration","created":"2024-02-27","cited_by_count":4,"area":null},{"id":"2501.17570","title":"Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios","created":"2025-01-29","cited_by_count":4,"area":null},{"id":"2404.16188","title":"Pearls from Pebbles: Improved Confidence Functions for Auto-labeling","created":"2024-04-24","cited_by_count":3,"area":null},{"id":"2106.09385","title":"On Deep Neural Network Calibration by Regularization and its Impact on Refinement","created":"2021-06-17","cited_by_count":2,"area":null},{"id":"2202.04837","title":"Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization","created":"2022-02-10","cited_by_count":2,"area":null},{"id":"2303.12973","title":"Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation","created":"2023-03-23","cited_by_count":2,"area":null},{"id":"2410.16493","title":"Building Conformal Prediction Intervals with Approximate Message Passing","created":"2024-10-21","cited_by_count":2,"area":null},{"id":"2502.15131","title":"Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling","created":"2025-02-21","cited_by_count":2,"area":null},{"id":"2311.18508","title":"DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution","created":"2023-11-30","cited_by_count":1,"area":null},{"id":"2401.05240","title":"Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action","created":"2024-01-10","cited_by_count":1,"area":null},{"id":"2508.01831","title":"Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2602.14862","title":"The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling","created":"2026-02-16","cited_by_count":1,"area":null},{"id":"2603.22879","title":"Confidence Calibration under Ambiguous Ground Truth","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2110.08922","title":"Explaining generalization in deep learning: progress and fundamental limits","created":"2021-10-17","cited_by_count":0,"area":null},{"id":"2206.01606","title":"Excess risk analysis for epistemic uncertainty with application to variational inference","created":"2022-06-02","cited_by_count":0,"area":null},{"id":"2402.07790","title":"From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration","created":"2024-02-12","cited_by_count":0,"area":null},{"id":"2412.19511","title":"Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction","created":"2024-12-27","cited_by_count":0,"area":null},{"id":"2605.03816","title":"The Manokhin Probability Matrix: A Diagnostic Framework for Classifier Probability Quality","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2607.13423","title":"Temperature Scaling Is Not Enough: Calibration Gaps Under Human Label Distributions","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.30390","title":"Uncertainty of Vision Medical Foundation Models","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}