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A Bridge Between Hyperparameter Optimization and Learning-to-learn

A Bridge Between Hyperparameter Optimization and Learning-to-learn

18 December 2017
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
ArXivPDFHTML

Papers citing "A Bridge Between Hyperparameter Optimization and Learning-to-learn"

13 / 13 papers shown
Title
Dual Meta-Learning with Longitudinally Generalized Regularization for
  One-Shot Brain Tissue Segmentation Across the Human Lifespan
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Yongheng Sun
Fan Wang
Jun Shu
Haifeng Wang
Li Meng
C. Lian
22
1
0
13 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
32
9
0
28 Jul 2023
iSLAM: Imperative SLAM
iSLAM: Imperative SLAM
Tai Fu
Shaoshu Su
Yiren Lu
Chen Wang
21
19
0
13 Jun 2023
Hyper-parameter tuning of physics-informed neural networks: Application
  to Helmholtz problems
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems
Paul Escapil-Inchauspé
G. A. Ruz
24
32
0
13 May 2022
How to Train Your MAML to Excel in Few-Shot Classification
How to Train Your MAML to Excel in Few-Shot Classification
Han-Jia Ye
Wei-Lun Chao
26
49
0
30 Jun 2021
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
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
48
221
0
27 Jan 2021
A Flexible Framework for Designing Trainable Priors with Adaptive
  Smoothing and Game Encoding
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
Bruno Lecouat
Jean Ponce
Julien Mairal
AI4CE
6
6
0
26 Jun 2020
Revisiting Meta-Learning as Supervised Learning
Revisiting Meta-Learning as Supervised Learning
Wei-Lun Chao
Han-Jia Ye
De-Chuan Zhan
M. Campbell
Kilian Q. Weinberger
OOD
FedML
19
22
0
03 Feb 2020
Empirical Bayes Regret Minimization
Empirical Bayes Regret Minimization
Chih-Wei Hsu
B. Kveton
Ofer Meshi
Martin Mladenov
Csaba Szepesvári
23
13
0
04 Apr 2019
Truncated Back-propagation for Bilevel Optimization
Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban
Ching-An Cheng
Nathan Hatch
Byron Boots
13
260
0
25 Oct 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
26
71
0
14 Aug 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
320
11,681
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
127
406
0
06 Mar 2017
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