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model calibration

271 papers

Papers

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes AAAI 2024 Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NeurIPS 2024 TEA: Test-time Energy Adaptation CVPR 2024 The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024 Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification ACL 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning NeurIPS 2024 Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models COLING 2024 Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective NeurIPS 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 Variational Bayesian Last Layers ICLR 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 A Close Look into the Calibration of Pre-trained Language Models ACL 2023 Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality NeurIPS 2023 Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023 Cal-DETR: Calibrated Detection Transformer NeurIPS 2023 Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing EMNLP 2023 Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023 Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning WACV 2023 Class Adaptive Network Calibration CVPR 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Cut your Losses with Squentropy ICML 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023