prior learning

LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026 D2FP: Learning Implicit Prior for Human Parsing WACV 2025 GASP: Gaussian Avatars with Synthetic Priors CVPR 2025 Learning Regularization for Graph Inverse Problems AAAI 2025 Learning Diffusion Priors from Observations by Expectation Maximization NeurIPS 2024 Differentially Private Image Classification by Learning Priors from Random Processes NeurIPS 2023 Learning Rain Location Prior for Nighttime Deraining ICCV 2023 Deep Optimized Priors for 3D Shape Modeling and Reconstruction CVPR 2021 Prior Based Human Completion CVPR 2021 Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020 Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019 Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019 Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising ICCV 2015