Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training

16 June 2022

Papers citing "Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training"

8 / 8 papers shown

Title
Robust Stochastically-Descending Unrolled Networks Samar Hadou Navid Naderializadeh Alejandro Ribeiro 48 1 0 25 Dec 2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation Zhu Liu Jinyuan Liu Ben-xi Zhang Long Ma Xin-Yue Fan Risheng Liu AAML 25 38 0 08 Aug 2023
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion Risheng Liu Zhu Liu Jinyuan Liu Xin-Yue Fan Zhongxuan Luo 27 36 0 25 May 2023
Hierarchical Optimization-Derived Learning Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 10 2 0 11 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity Risheng Liu Yaohua Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 13 24 0 07 Feb 2023
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 119 1,420 0 04 Feb 2021
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling Risheng Liu Pan Mu Jian Chen Xin-Yue Fan Zhongxuan Luo 30 25 0 18 Oct 2019
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 370 0 06 Mar 2017