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model calibration

225 papers

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Co-occurring keywords

uncertainty quantification (1365) uncertainty estimation (639) large language model (12755) confidence calibration (173) temperature scaling (67) expected calibration error (44) language model (4573) neural network (6616) knowledge distillation (3680) label smoothing (107)

Papers

Self-Calibrating Conformal Prediction NIPS 2024
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration NIPS 2024
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective NIPS 2024
Making Pre-trained Language Models both Task-solvers and Self-calibrators ACL 2023
Cal-DETR: Calibrated Detection Transformer NIPS 2023
Don’t waste a single annotation: improving single-label classifiers through soft labels EMNLP 2023
Soft Augmentation for Image Classification CVPR 2023
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration ACL 2023
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023
Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning WACV 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality NIPS 2023
Revisiting Pathologies of Neural Models under Input Reduction ACL 2023
A Close Look into the Calibration of Pre-trained Language Models ACL 2023
Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification ACL 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023
Fast and scalable score-based kernel calibration tests UAI 2023
Variable-Based Calibration for Machine Learning Classifiers AAAI 2023
On Calibrating Diffusion Probabilistic Models NIPS 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NIPS 2023
Proximity-Informed Calibration for Deep Neural Networks NIPS 2023
Robust distillation for worst-class performance: on the interplay between teacher and student objectives UAI 2023
Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023