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Loss Functions

1162 directly classified papers

Papers per year

Papers

Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Convex Parametric Shapes AAAI 2026
Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution AAAI 2026
Posterior Label Smoothing for Node Classification AAAI 2026
Enhancing Interpretability for Vision Models via Shapley Value Optimization AAAI 2026
Olga Snissarenko at AbjadMed: Arabic Clinical Text Classification with AraBERT: Results from the AbjadMed Shared Task EACL 2026
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models WACV 2026
QCFace: Image Quality Control for boosting Face Representation & Recognition WACV 2026
Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025
Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement IJCAI 2025
Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation ICCV 2025
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning ICCV 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data AAAI 2025
Revisiting Interpolation for Noisy Label Correction AAAI 2025
VSRM: A Robust Mamba-Based Framework for Video Super-Resolution ICCV 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition AAAI 2025
Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025
Code-switching Mediated Sentence-level Semantic Learning AAAI 2025
Feature Clipping for Uncertainty Calibration AAAI 2025
Heatmap Regression without Soft-Argmax for Facial Landmark Detection ICCV 2025
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering AAAI 2025
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests JMLR 2025
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025