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overconfident prediction

5 papers

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neural network (3) out-of-distribution detection (2) confidence calibration (2) uncertainty quantification (2) post-hoc calibration (1) hyperspherical space (1) model confidence (1) parameter pruning (1) confidence score (1) accuracy-uncertainty loss (1)

Papers

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection AAAI 2025 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Training Private Models That Know What They Don’t Know NeurIPS 2023 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Post-Hoc Uncertainty Calibration for Domain Drift Scenarios CVPR 2021