loss function

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness WACV 2026 Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image WACV 2026 Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026 Edit-aware RAW reconstruction CVPR 2026 Investigating the Histogram Loss in Regression JMLR 2026 Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Convex Parametric Shapes AAAI 2026 QCFace: Image Quality Control for boosting Face Representation & Recognition WACV 2026 REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation AAAI 2026 RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting AAAI 2026 Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels CVPR 2026 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution AAAI 2025 A Fine-grained Characterization of PAC Learnability COLT 2025 ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect AAAI 2025 ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization WACV 2025 A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling IJCAI 2025 A Two-Head Loss Function for Deep Average-K Classification WACV 2025 A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation AAAI 2025 Auto-Encoded Supervision for Perceptual Image Super-Resolution CVPR 2025 Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025 Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks ICLR 2025 Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025 Binary Losses for Density Ratio Estimation ICLR 2025 Collapse-Proof Non-Contrastive Self-Supervised Learning ICML 2025 ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks ICLR 2025 Covered Forest: Fine-grained generalization analysis of graph neural networks ICML 2025