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

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

27 January 2021
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
    AI4CE
ArXivPDFHTML

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

50 / 137 papers shown
Title
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
41
25
0
01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
33
2
0
01 Aug 2023
Learning with Constraint Learning: New Perspective, Solution Strategy
  and Various Applications
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
37
9
0
28 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph
  Contrastive Learning
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu
Haizhou Shi
Zhenshuo Zhang
Siliang Tang
26
8
0
24 Jul 2023
Joint Perceptual Learning for Enhancement and Object Detection in
  Underwater Scenarios
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios
C. Fu
Wanqi Yuan
Jiewen Xiao
Risheng Liu
Xin-Yue Fan
22
0
0
07 Jul 2023
iSLAM: Imperative SLAM
iSLAM: Imperative SLAM
Tai Fu
Shaoshu Su
Yiren Lu
Chen Wang
21
19
0
13 Jun 2023
A Generalized Alternating Method for Bilevel Learning under the
  Polyak-Łojasiewicz Condition
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition
Quan-Wu Xiao
Songtao Lu
Tianyi Chen
24
2
0
04 Jun 2023
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement
Long Ma
Dian Jin
Nan An
Jinyuan Liu
Xin-Yue Fan
Risheng Liu
33
48
0
02 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated
  Bilevel Learning
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang
Peiyao Xiao
Kaiyi Ji
FedML
24
14
0
30 May 2023
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for
  Image Fusion
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion
Risheng Liu
Zhu Liu
Jinyuan Liu
Xin-Yue Fan
Zhongxuan Luo
37
36
0
25 May 2023
Embracing Compact and Robust Architectures for Multi-Exposure Image
  Fusion
Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion
Zhu Liu
Jinyuan Liu
Guanyao Wu
Xin-Yue Fan
Risheng Liu
13
10
0
20 May 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in
  Multi-Agent Systems
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Bin Zhang
Hangyu Mao
Lijuan Li
Zhiwei Xu
Dapeng Li
Rui Zhao
Guoliang Fan
OffRL
31
5
0
13 May 2023
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and
  Beyond
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
Zhu Liu
Jinyuan Liu
Guanyao Wu
Long Ma
Xin-Yue Fan
Risheng Liu
34
34
0
11 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Wanli Li
T. Qian
Yi Song
Zeyu Zhang
Jiawei Li
Zhuang Chen
Lixin Zou
65
1
0
03 May 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated
  Learning in Cloud-Edge Collaboration
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Peng Chen
Xin Du
Zhihui Lu
Hongfeng Chai
FedML
AAML
31
10
0
22 Apr 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Sheng Xu
Yanjing Li
Mingbao Lin
Penglei Gao
Guodong Guo
Jinhu Lu
Baochang Zhang
MQ
23
23
0
01 Apr 2023
Random Weights Networks Work as Loss Prior Constraint for Image
  Restoration
Random Weights Networks Work as Loss Prior Constraint for Image Restoration
Man Zhou
Naishan Zheng
Jie Huang
Xiangyu Rui
Chunle Guo
Deyu Meng
Chongyi Li
Liang Feng
24
0
0
29 Mar 2023
Neural Preset for Color Style Transfer
Neural Preset for Color Style Transfer
Zhanghan Ke
Yuhao Liu
Lei Zhu
Nanxuan Zhao
Rynson W. H. Lau
27
34
0
23 Mar 2023
Non-Exemplar Online Class-incremental Continual Learning via
  Dual-prototype Self-augment and Refinement
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
Fushuo Huo
Wenchao Xu
Jingcai Guo
Yining Qi
Yunfeng Fan
Song Guo
CLL
56
16
0
20 Mar 2023
Robustness-preserving Lifelong Learning via Dataset Condensation
Robustness-preserving Lifelong Learning via Dataset Condensation
Jinghan Jia
Yihua Zhang
Dogyoon Song
Sijia Liu
Alfred Hero
DD
30
4
0
07 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
34
11
0
04 Mar 2023
iPlanner: Imperative Path Planning
iPlanner: Imperative Path Planning
Fan Yang
Chen Wang
Cesar Cadena
Marco Hutter
22
37
0
22 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With
  Equilibrium Constraints
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints
Jiayang Li
Jiahao Yu
Boyi Liu
Zhaoran Wang
Y. Nie
35
6
0
20 Feb 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Guodong Qi
Huimin Yu
CML
SSL
35
5
0
20 Feb 2023
Hierarchical Optimization-Derived Learning
Hierarchical Optimization-Derived Learning
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
25
3
0
11 Feb 2023
Communication-Efficient Federated Hypergradient Computation via
  Aggregated Iterative Differentiation
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
Peiyao Xiao
Kaiyi Ji
FedML
26
10
0
09 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without
  Lower-Level Strong Convexity
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu
Yaohua Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
32
24
0
07 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
26
20
0
03 Feb 2023
Follower Agnostic Methods for Stackelberg Games
Follower Agnostic Methods for Stackelberg Games
C. Maheshwari
James Cheng
S. S. Sasty
Lillian J. Ratliff
Eric Mazumdar
27
1
0
02 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian
Aviv Navon
Neta Glazer
Kenji Kawaguchi
Gal Chechik
Ethan Fetaya
35
8
0
31 Jan 2023
Network Utility Maximization with Unknown Utility Functions: A
  Distributed, Data-Driven Bilevel Optimization Approach
Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach
Kaiyi Ji
Lei Ying
19
7
0
04 Jan 2023
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
66
31
0
04 Jan 2023
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion
  Problems
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems
Jérôme Bolte
Edouard Pauwels
Antonio Silveti-Falls
18
13
0
15 Dec 2022
On Solution Functions of Optimization: Universal Approximation and
  Covering Number Bounds
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
Ming Jin
Vanshaj Khattar
Harshal D. Kaushik
Bilgehan Sel
R. Jia
24
8
0
02 Dec 2022
CLAWSAT: Towards Both Robust and Accurate Code Models
CLAWSAT: Towards Both Robust and Accurate Code Models
Jinghan Jia
Shashank Srikant
Tamara Mitrovska
Chuang Gan
Shiyu Chang
Sijia Liu
Una-May O’Reilly
AAML
15
11
0
21 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINN
AI4CE
28
89
0
15 Nov 2022
Alternating Implicit Projected SGD and Its Efficient Variants for
  Equality-constrained Bilevel Optimization
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
Quan-Wu Xiao
Han Shen
W. Yin
Tianyi Chen
16
8
0
14 Nov 2022
Equivariance with Learned Canonicalization Functions
Equivariance with Learned Canonicalization Functions
Sekouba Kaba
Arnab Kumar Mondal
Yan Zhang
Yoshua Bengio
Siamak Ravanbakhsh
44
62
0
11 Nov 2022
Adaptive Multi-Corpora Language Model Training for Speech Recognition
Adaptive Multi-Corpora Language Model Training for Speech Recognition
Yingyi Ma
Zhe Liu
Xuedong Zhang
31
2
0
09 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
25
4
0
08 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles Ling
Tal Arbel
Boyu Wang
Christian Gagné
44
37
0
19 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
36
21
0
12 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAML
SILM
26
80
0
12 Oct 2022
Meta-Ensemble Parameter Learning
Meta-Ensemble Parameter Learning
Zhengcong Fei
Shuman Tian
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
OOD
41
2
0
05 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li
Yang Bai
Yong Jiang
Yong-Liang Yang
Shutao Xia
Bo Li
AAML
50
98
0
27 Sep 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye
B. Liu
S. Wright
Peter Stone
Qian Liu
72
82
0
19 Sep 2022
Differentiable Bilevel Programming for Stackelberg Congestion Games
Differentiable Bilevel Programming for Stackelberg Congestion Games
Jiayang Li
Jiahao Yu
Qianni Wang
Boyi Liu
Zhaoran Wang
Y. Nie
31
13
0
15 Sep 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
44
10
0
06 Jul 2022
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph
  Anomaly Detection
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection
Yulin Zhu
Y. Lai
Kaifa Zhao
Xi Luo
Min Yuan
Jun Wu
Jian Ren
Kai Zhou
35
1
0
16 Jun 2022
Optimization-Derived Learning with Essential Convergence Analysis of
  Training and Hyper-training
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
40
6
0
16 Jun 2022
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