robust loss

Dynamic Regret in Outlier-Oblivious Online Optimization using Nonconvex Robust Losses UAI 2026 Robustness to Spurious Correlations via Dynamic Knowledge Transfer IJCAI 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 Boosting Single Positive Multi-label Classification with Generalized Robust Loss IJCAI 2024 REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation WACV 2024 Active Negative Loss Functions for Learning with Noisy Labels NeurIPS 2023 On Proper Learnability between Average- and Worst-case Robustness NeurIPS 2023 Revisiting Rotation Averaging: Uncertainties and Robust Losses CVPR 2023 RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023 Sample-wise Label Confidence Incorporation for Learning with Noisy Labels ICCV 2023 Do We Really Need Gold Samples for Sample Weighting Under Label Noise? WACV 2021 Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses ICML 2020 A General and Adaptive Robust Loss Function CVPR 2019 Provably robust boosted decision stumps and trees against adversarial attacks NeurIPS 2019 Consistency of Robust Kernel Density Estimators COLT 2013