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Gradient-based Hyperparameter Optimization Over Long Horizons
v1v2 (latest)

Gradient-based Hyperparameter Optimization Over Long Horizons

Neural Information Processing Systems (NeurIPS), 2020
15 July 2020
P. Micaelli
Amos Storkey
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "Gradient-based Hyperparameter Optimization Over Long Horizons"

7 / 7 papers shown
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2024
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
706
2
0
21 Dec 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter
  Optimization and Meta Learning
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Minyoung Kim
Timothy M. Hospedales
BDL
355
3
0
14 Oct 2024
Glocal Hypergradient Estimation with Koopman Operator
Glocal Hypergradient Estimation with Koopman Operator
Ryuichiro Hataya
Yoshinobu Kawahara
290
2
0
05 Feb 2024
Federated Automatic Differentiation
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
337
1
0
18 Jan 2023
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence
  Models
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge
Chris Alberti
Shankar Kumar
349
5
0
10 Sep 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence
Meta Mirror Descent: Optimiser Learning for Fast Convergence
Boyan Gao
Henry Gouk
Haebeom Lee
Timothy M. Hospedales
250
8
0
05 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation
Continuous-Time Meta-Learning with Forward Mode DifferentiationInternational Conference on Learning Representations (ICLR), 2022
T. Deleu
David Kanaa
Leo Feng
Giancarlo Kerg
Yoshua Bengio
Guillaume Lajoie
Pierre-Luc Bacon
328
22
0
02 Mar 2022
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