energy score

Continuous Visual Autoregressive Generation via Score Maximization ICML 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection ICCV 2025 CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection ICML 2024 Evaluation of Trajectory Distribution Predictions with Energy Score ICML 2024 Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024 Quasi-Bayes meets Vines NeurIPS 2024 Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement ICLR 2024 Estimating Regression Predictive Distributions with Sample Networks AAAI 2023 ETran: Energy-Based Transferability Estimation ICCV 2023 InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning ICLR 2023 Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023 Multivariate Quantile Function Forecaster AISTATS 2022 Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data CVPR 2022 Can multi-label classification networks know what they don’t know? NeurIPS 2021 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors ICLR 2021 MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021 Energy-based Out-of-distribution Detection NeurIPS 2020