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Gradient-based Bi-level Optimization for Deep Learning: A Survey

Gradient-based Bi-level Optimization for Deep Learning: A Survey

24 July 2022
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
ArXivPDFHTML

Papers citing "Gradient-based Bi-level Optimization for Deep Learning: A Survey"

25 / 25 papers shown
Title
Offline Model-Based Optimization: Comprehensive Review
Offline Model-Based Optimization: Comprehensive Review
Minsu Kim
Jiayao Gu
Ye Yuan
Taeyoung Yun
Ziqiang Liu
Yoshua Bengio
Can Chen
OffRL
67
2
0
21 Mar 2025
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich
Alexander Podolskiy
Irina Piontkovskaya
48
0
0
28 Jan 2025
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
Yifeng Wang
Xueying Zhan
Siyu Huang
OOD
38
0
0
17 Oct 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
39
7
0
05 May 2024
Fast and Efficient Local Search for Genetic Programming Based Loss
  Function Learning
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
46
2
0
01 Mar 2024
Federated Learning Can Find Friends That Are Advantageous
Federated Learning Can Find Friends That Are Advantageous
N. Tupitsa
Samuel Horváth
Martin Takávc
Eduard A. Gorbunov
FedML
49
2
0
07 Feb 2024
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse
  Network
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen-li Ma
Weihong Luo
Liang Chen
Xiuqiang He
Xue Liu
18
2
0
23 Oct 2023
Jointly-Learned Exit and Inference for a Dynamic Neural Network :
  JEI-DNN
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
Florence Regol
Joud Chataoui
Mark J. Coates
32
6
0
13 Oct 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
Yanan Wu
Zhixiang Chi
Yang Wang
Songhe Feng
BDL
CLL
26
26
0
21 Aug 2023
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
Think Before You Act: Decision Transformers with Working Memory
Think Before You Act: Decision Transformers with Working Memory
Jikun Kang
Romain Laroche
Xingdi Yuan
Adam Trischler
Xuefei Liu
Jie Fu
OffRL
27
0
0
24 May 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLM
CLL
91
44
0
24 Mar 2023
Multi-task Meta Label Correction for Time Series Prediction
Multi-task Meta Label Correction for Time Series Prediction
Luxuan Yang
Ting Gao
Wei Wei
Min Dai
Cheng Fang
Jinqiao Duan
AI4TS
39
3
0
09 Mar 2023
Meta-Learning with Self-Improving Momentum Target
Meta-Learning with Self-Improving Momentum Target
Jihoon Tack
Jongjin Park
Hankook Lee
Jaeho Lee
Jinwoo Shin
LRM
65
12
0
11 Oct 2022
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
49
68
0
08 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
29
0
08 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of
  ORBIT Challenge 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
Liming Gu
Zhixiang Chi
Huan Liu
Yuanhao Yu
Yang Wang
27
5
0
01 Oct 2022
Adapting Triplet Importance of Implicit Feedback for Personalized
  Recommendation
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
Haolun Wu
Chen-li Ma
Yingxue Zhang
Xue Liu
Ruiming Tang
Mark J. Coates
45
7
0
02 Aug 2022
Structure-aware Protein Self-supervised Learning
Structure-aware Protein Self-supervised Learning
Can Chen
Jingbo Zhou
Fan Wang
Xue Liu
Dejing Dou
SSL
18
65
0
06 Apr 2022
Min-Max Bilevel Multi-objective Optimization with Applications in
  Machine Learning
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
Alex Gu
Songtao Lu
Parikshit Ram
Tsui-Wei Weng
40
10
0
03 Mar 2022
Inexact bilevel stochastic gradient methods for constrained and
  unconstrained lower-level problems
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
33
12
0
01 Oct 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K
  Recommendation
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen-li Ma
Liheng Ma
Yingxue Zhang
Ruiming Tang
Xue Liu
Mark J. Coates
53
49
0
13 Jan 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
716
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
359
11,684
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
133
406
0
06 Mar 2017
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