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Towards Task and Architecture-Independent Generalization Gap Predictors

Towards Task and Architecture-Independent Generalization Gap Predictors

4 June 2019
Scott Yak
J. Gonzalvo
Hanna Mazzawi
    UQCV
    AI4CE
ArXivPDFHTML

Papers citing "Towards Task and Architecture-Independent Generalization Gap Predictors"

11 / 11 papers shown
Title
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
70
0
0
25 Apr 2025
Towards Scalable and Versatile Weight Space Learning
Towards Scalable and Versatile Weight Space Learning
Konstantin Schurholt
Michael W. Mahoney
Damian Borth
52
16
0
14 Jun 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
80
1
0
17 Jan 2024
Sparsified Model Zoo Twins: Investigating Populations of Sparsified
  Neural Network Models
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
37
4
0
26 Apr 2023
Permutation Equivariant Neural Functionals
Permutation Equivariant Neural Functionals
Allan Zhou
Kaien Yang
Kaylee Burns
Adriano Cardace
Yiding Jiang
Samuel Sokota
J. Zico Kolter
Chelsea Finn
35
47
0
27 Feb 2023
Multi-Object Navigation with dynamically learned neural implicit
  representations
Multi-Object Navigation with dynamically learned neural implicit representations
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
35
23
0
11 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Konstantin Schurholt
Diyar Taskiran
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
60
29
0
29 Sep 2022
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
41
14
0
28 Oct 2021
In Search of Probeable Generalization Measures
In Search of Probeable Generalization Measures
Jonathan Jaegerman
Khalil Damouni
M. M. Ankaralı
Konstantinos N. Plataniotis
27
2
0
23 Oct 2021
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Yiding Jiang
Pierre Foret
Scott Yak
Daniel M. Roy
H. Mobahi
Gintare Karolina Dziugaite
Samy Bengio
Suriya Gunasekar
Isabelle M Guyon
Behnam Neyshabur Google Research
OOD
24
55
0
14 Dec 2020
Predicting Neural Network Accuracy from Weights
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner
Daniel Keysers
Sylvain Gelly
Olivier Bousquet
Ilya O. Tolstikhin
30
101
0
26 Feb 2020
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