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Learning to Learn with Generative Models of Neural Network Checkpoints

Learning to Learn with Generative Models of Neural Network Checkpoints

26 September 2022
William S. Peebles
Ilija Radosavovic
Tim Brooks
Alexei A. Efros
Jitendra Malik
    UQCV
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Papers citing "Learning to Learn with Generative Models of Neural Network Checkpoints"

13 / 13 papers shown
Title
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
K. T. Nguyen
Francesca Tozzi
W. Willaert
J. Vankerschaver
Nikdokht Rashidian
W. D. Neve
DiffM
MedIm
50
0
0
28 Apr 2025
A Model Zoo on Phase Transitions in Neural Networks
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schurholt
Léo Meynent
Yefan Zhou
Haiquan Lu
Yaoqing Yang
Damian Borth
58
0
0
25 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Muhammad Shahroz Khan
Dongwen Tang
Pingzhi Li
Kai Wang
Tianlong Chen
AI4CE
35
0
0
31 Mar 2025
Adversarial Robustness in Parameter-Space Classifiers
Adversarial Robustness in Parameter-Space Classifiers
Tamir Shor
Ethan Fetaya
Chaim Baskin
A. Bronstein
AAML
OOD
43
0
0
27 Feb 2025
Learning Versatile Optimizers on a Compute Diet
Learning Versatile Optimizers on a Compute Diet
A. Moudgil
Boris Knyazev
Guillaume Lajoie
Eugene Belilovsky
41
0
0
22 Jan 2025
Prioritized Generative Replay
Prioritized Generative Replay
Renhao Wang
Kevin Frans
Pieter Abbeel
Sergey Levine
Alexei A. Efros
OnRL
DiffM
54
2
0
23 Oct 2024
Monomial Matrix Group Equivariant Neural Functional Networks
Monomial Matrix Group Equivariant Neural Functional Networks
Hoang V. Tran
Thieu N. Vo
Tho H. Tran
An T. Nguyen
Tan M. Nguyen
34
5
0
18 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai
J. Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
53
0
0
09 Sep 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Zexi Li
Lingzhi Gao
Chao Wu
AI4CE
DiffM
40
3
0
23 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
14
2
0
21 May 2024
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
3,790
0
24 Feb 2021
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
163
664
0
07 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
234
11,568
0
09 Mar 2017
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