distribution discrepancy

Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation CVPR 2026 CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025 OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection IJCAI 2025 Prototype-based Optimal Transport for Out-of-Distribution Detection IJCAI 2025 Provably Improving Generalization of Few-shot models with Synthetic Data ICML 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition NeurIPS 2024 Correcting Diffusion Generation through Resampling CVPR 2024 Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy ICLR 2024 Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection CoRL 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 Domain Adaptation with Cauchy-Schwarz Divergence UAI 2024 Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation AAAI 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions ICML 2023 Learning to Augment Distributions for Out-of-distribution Detection NeurIPS 2023 Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning AAAI 2023 MOT: Masked Optimal Transport for Partial Domain Adaptation CVPR 2023 R-divergence for Estimating Model-oriented Distribution Discrepancy NeurIPS 2023 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 On the Value of Target Data in Transfer Learning NeurIPS 2019 Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018 Chi-square Generative Adversarial Network ICML 2018