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2002.05688
Cited By
Classifying the classifier: dissecting the weight space of neural networks
European Conference on Artificial Intelligence (ECAI), 2020
13 February 2020
Gabriel Eilertsen
Daniel Jonsson
Timo Ropinski
Jonas Unger
Anders Ynnerman
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Papers citing
"Classifying the classifier: dissecting the weight space of neural networks"
49 / 49 papers shown
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An open dataset of neural networks for hypernetwork research
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02 Jul 2025
Data Swarms: Optimizable Generation of Synthetic Evaluation Data
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A Model Zoo on Phase Transitions in Neural Networks
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25 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning
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Konstantin Schurholt
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449
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Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space
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Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective
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Willem-jan Van Den Heuvel
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457
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Adversarial Attacks in Weight-Space Classifiers
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Ethan Fetaya
Chaim Baskin
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Model Lakes
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Koyena Pal
David Bau
Renée J. Miller
397
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Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng
Zifeng Wang
Yike Wang
Sayna Ebrahimi
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Yejin Choi
Yulia Tsvetkov
Zifeng Wang
Tomas Pfister
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Local and Global Decoding in Text Generation
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Thomas Hofmann
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Tiago Pimentel
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Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
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Yoav Gelberg
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Haggai Maron
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Monomial Matrix Group Equivariant Neural Functional Networks
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306
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Scale Equivariant Graph Metanetworks
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Giorgos Bouritsas
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445
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Towards Scalable and Versatile Weight Space Learning
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Konstantin Schurholt
Michael W. Mahoney
Damian Borth
343
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14 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim
Moe Putterman
Robin Walters
Haggai Maron
Stefanie Jegelka
591
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30 May 2024
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
International Conference on Learning Representations (ICLR), 2024
Miltiadis Kofinas
Boris Knyazev
Yan Zhang
Yunlu Chen
Gertjan J. Burghouts
E. Gavves
Cees G. M. Snoek
David W. Zhang
321
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18 Mar 2024
Learning Useful Representations of Recurrent Neural Network Weight Matrices
International Conference on Machine Learning (ICML), 2024
Vincent Herrmann
Francesco Faccio
Jürgen Schmidhuber
403
12
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18 Mar 2024
Universal Neural Functionals
Allan Zhou
Chelsea Finn
James Harrison
277
23
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07 Feb 2024
Improved Generalization of Weight Space Networks via Augmentations
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Aviv Navon
David W. Zhang
Yan Zhang
Ethan Fetaya
Gal Chechik
Haggai Maron
460
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How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Computer Vision and Pattern Recognition (CVPR), 2023
Samuele Papa
Riccardo Valperga
David M. Knigge
Miltiadis Kofinas
Phillip Lippe
Jan-Jakob Sonke
E. Gavves
346
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Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim
Haggai Maron
Marc T. Law
Jonathan Lorraine
James Lucas
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412
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Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning
Daniel Jiménez-López
Daniel
Nuria Rodríguez Barroso
Nuria
M. V. Luzón
M. Victoria
Francisco Herrera
Francisco
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217
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20 Nov 2023
Data Augmentations in Deep Weight Spaces
Aviv Shamsian
David W. Zhang
Aviv Navon
Yan Zhang
Miltiadis Kofinas
...
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Cees G. M. Snoek
Ethan Fetaya
Gal Chechik
Haggai Maron
399
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Equivariant Deep Weight Space Alignment
Aviv Navon
Aviv Shamsian
Ethan Fetaya
Gal Chechik
Nadav Dym
Haggai Maron
467
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20 Oct 2023
Neural Functional Transformers
Neural Information Processing Systems (NeurIPS), 2023
Allan Zhou
Kaien Yang
Yiding Jiang
Kaylee Burns
Winnie Xu
Samuel Sokota
J. Zico Kolter
Chelsea Finn
291
45
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22 May 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
289
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26 Apr 2023
Permutation Equivariant Neural Functionals
Neural Information Processing Systems (NeurIPS), 2023
Allan Zhou
Kaien Yang
Kaylee Burns
Adriano Cardace
Yiding Jiang
Samuel Sokota
J. Zico Kolter
Chelsea Finn
358
69
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27 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
International Conference on Machine Learning (ICML), 2023
Weijian Deng
Yumin Suh
Stephen Gould
Liang Zheng
UQCV
358
23
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02 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces
International Conference on Machine Learning (ICML), 2023
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
486
100
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30 Jan 2023
On the Relationship Between Explanation and Prediction: A Causal View
International Conference on Machine Learning (ICML), 2022
Amir-Hossein Karimi
Krikamol Muandet
Simon Kornblith
Bernhard Schölkopf
Been Kim
FAtt
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482
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Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Neural Information Processing Systems (NeurIPS), 2022
Konstantin Schurholt
Diyar Taskiran
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
407
40
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On the Strong Correlation Between Model Invariance and Generalization
Neural Information Processing Systems (NeurIPS), 2022
Weijian Deng
Stephen Gould
Liang Zheng
OOD
316
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Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis
Carey Shenkman
Dhanaraj Thakur
Emma Llansó
153
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Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
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SSL
474
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28 Oct 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
International Conference on Machine Learning (ICML), 2021
Weijian Deng
Stephen Gould
Liang Zheng
265
71
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Survey of XAI in digital pathology
Milda Pocevičiūtė
Gabriel Eilertsen
Claes Lundström
261
62
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An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks
Konstantin Schurholt
Damian Borth
433
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18 Jun 2020
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner
Daniel Keysers
Sylvain Gelly
Olivier Bousquet
Ilya O. Tolstikhin
522
125
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26 Feb 2020
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Nature Communications (Nat Commun), 2020
Charles H. Martin
Tongsu Peng
Peng
Michael W. Mahoney
400
145
0
17 Feb 2020
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