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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"

6 / 6 papers shown
Title
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
37
9
0
11 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
39
20
0
08 Oct 2022
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
21
46
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
89
640
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
220
9,525
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
104
370
0
06 Mar 2017
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