GitHub topics: weight-space-learning

Weight-Space Linear Recurrent Neural Networks

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Official PyTorch Implementation for the "Unsupervised Model Tree Heritage Recovery" paper (ICLR 2025).

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🧠 Explore weight space learning to analyze neural network parameters for enhanced understanding, discrimination, and generation of model weights.

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Official PyTorch Implementation for the "Recovering the Pre-Fine-Tuning Weights of Generative Models" paper (ICML 2024).

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Awesome papers on weight-space learning

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Official PyTorch Implementation for the "Learning on Model Weights using Tree Experts" paper (CVPR 2025).

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Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".

Language: Python - Size: 1.09 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 11 - Forks: 2

Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".

Language: Python - Size: 735 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 1

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