classification loss

One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models ICML 2025 Mean Field Theory in Deep Metric Learning ICLR 2024 Pairwise Alignment Improves Graph Domain Adaptation ICML 2024 What Matters in Range View 3D Object Detection CoRL 2024 A step towards understanding why classification helps regression ICCV 2023 Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning WACV 2023 Class Adaptive Network Calibration CVPR 2023 Correlation Loss: Enforcing Correlation between Classification and Localization AAAI 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023 Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection ICCV 2023 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 Consistent Polyhedral Surrogates for Top-k Classification and Variants ICML 2022 Multi-Corpus Speech Emotion Recognition for Unseen Corpus Using Corpus-Wise Weights in Classification Loss Interspeech 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022 von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning ICCV 2021 Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020 Learning a Unified Sample Weighting Network for Object Detection CVPR 2020 A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss JMLR 2012 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NeurIPS 2011 Relaxed Clipping: A Global Training Method for Robust Regression and Classification NeurIPS 2010