Towards Scalable and Versatile Weight Space Learning

14 June 2024

Papers citing "Towards Scalable and Versatile Weight Space Learning"

16 / 16 papers shown

Title
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
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning Donggyun Kim Chanwoo Kim Seunghoon Hong 12 0 0 21 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk Konstantin Schurholt Damian Borth 27 0 0 14 Apr 2025
A Model Zoo of Vision Transformers Damian Falk Léo Meynent Florence Pfammatter Konstantin Schurholt Damian Borth 27 0 0 14 Apr 2025
Instruction-Guided Autoregressive Neural Network Parameter Generation Soro Bedionita Bruno Andreis Song Chong Sung Ju Hwang DiffM 32 0 0 02 Apr 2025
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction Léo Meynent Ivan Melev Konstantin Schurholt Göran Kauermann Damian Borth 37 2 0 21 Mar 2025
Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space Vinicius Hernandes Thomas Spriggs Saqar Khaleefah E. Greplova 36 0 0 21 Mar 2025
Charting and Navigating Hugging Face's Model Atlas Eliahu Horwitz Nitzan Kurer Jonathan Kahana Liel Amar Yedid Hoshen 31 0 0 13 Mar 2025
Local and Global Decoding in Text Generation Daniel Gareev Thomas Hofmann Ezhilmathi Krishnasamy Tiago Pimentel 24 0 0 14 Oct 2024
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 39 29 0 29 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 42 38 0 29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 64 64 0 26 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data Yaoqing Yang Ryan Theisen Liam Hodgkinson Joseph E. Gonzalez Kannan Ramchandran Charles H. Martin Michael W. Mahoney 72 17 0 06 Feb 2022
Compact and Optimal Deep Learning with Recurrent Parameter Generators Jiayun Wang Yubei Chen Stella X. Yu Brian Cheung Yann LeCun BDL 19 4 0 15 Jul 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017