prediction confidence

Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026 IT$^3$: Idempotent Test-Time Training ICML 2025 Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study ICML 2025 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency ICML 2024 Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks AAAI 2024 Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction ACL 2024 Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation ICML 2023 Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023 Learning Recourse on Instance Environment to Enhance Prediction Accuracy NeurIPS 2022 On the Strong Correlation Between Model Invariance and Generalization NeurIPS 2022 Robust Models are less Over-Confident NeurIPS 2022 Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example AAAI 2021 BERT Loses Patience: Fast and Robust Inference with Early Exit NeurIPS 2020 Online Passive Aggressive Active Learning and Its Applications ACML 2014 Co-Training with Insufficient Views ACML 2013