Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond

27 January 2021

Papers citing "Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond"

37 / 137 papers shown

Title
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration Di Wang Jinyuan Liu Xin-Yue Fan Risheng Liu 50 171 0 24 May 2022
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees Risheng Liu Xuan Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 12 3 0 20 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 31 73 0 04 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 19 27 0 03 May 2022
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection Jinyuan Liu Xin-Yue Fan Zhanbo Huang Guanyao Wu Risheng Liu Wei Zhong Zhongxuan Luo 11 441 0 30 Mar 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models Ge Kan Jinhu Lu Tian Wang Baochang Zhang Aichun Zhu Lei Huang Guodong Guo H. Snoussi 15 6 0 24 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 32 10 0 03 Mar 2022
Split Semantic Detection in Sandplay Images Xiaokun Feng Xiaotang Chen Jian Jia Kaiqi Huang 8 0 0 02 Mar 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse Junyi Li Bin Gu Heng-Chiao Huang 16 72 0 09 Dec 2021
Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel Julien Mairal 101 58 0 29 Nov 2021
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining Pan Mu Zhu Liu Yaohua Liu Risheng Liu Xin-Yue Fan 17 20 0 08 Nov 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 19 28 0 13 Oct 2021
Value-Function-based Sequential Minimization for Bi-level Optimization Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 19 30 0 11 Oct 2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence Boyi Liu Jiayang Li Zhuoran Yang Hoi-To Wai Mingyi Hong Y. Nie Zhaoran Wang 44 18 0 04 Oct 2021
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems Tommaso Giovannelli G. Kent Luis Nunes Vicente 15 12 0 01 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 8 80 0 01 Oct 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 54 137 0 09 Sep 2021
Enhanced Bilevel Optimization via Bregman Distance Feihu Huang Junyi Li Shangqian Gao Heng-Chiao Huang 9 33 0 26 Jul 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 8 79 0 15 Jun 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang Zhigang Hua Gan Liu Jiayi Zhang Junchi Yan Feng Qi Shuang Yang Jun Zhou Xiaokang Yang 14 41 0 09 Jun 2021
A General Descent Aggregation Framework for Gradient-based Bi-level Optimization Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang AI4CE 20 36 0 16 Feb 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri Siliang Zeng Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 9 129 0 15 Feb 2021
A Single-Timescale Method for Stochastic Bilevel Optimization Tianyi Chen Yuejiao Sun Quan-Wu Xiao W. Yin 11 76 0 09 Feb 2021
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 29 23 0 19 Oct 2020
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning Ankur Sinha Tanmay Khandait R. Mohanty 35 16 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 35 585 0 17 Jul 2020
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond Risheng Liu Zi Li Xin-Yue Fan Chenying Zhao Hao Huang Zhongxuan Luo 3DH 6 32 0 30 Apr 2020
Hierarchical Neural Architecture Search for Single Image Super-Resolution Yong Guo Yongsheng Luo Zhenhao He Jin Huang Jian Chen SupR 54 49 0 10 Mar 2020
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate Yufeng Zhang Qi Cai Zhuoran Yang Zhaoran Wang 56 12 0 08 Mar 2020
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling Risheng Liu Pan Mu Jian Chen Xin-Yue Fan Zhongxuan Luo 38 25 0 18 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 96 91 0 08 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 178 0 07 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau Stig Petersen Ashish Agarwal David Barrett Kimberly L. Stachenfeld 49 40 0 06 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 404 0 06 Mar 2017