weight space

Weight Space Representation Learning via Neural Field Adaptation CVPR 2026 Equivariant Neural Functional Networks for Transformers ICLR 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence ICML 2025 NegMerge: Sign-Consensual Weight Merging for Machine Unlearning ICML 2025 $C^2M^3$: Cycle-Consistent Multi-Model Merging NeurIPS 2024 Interpreting the Weight Space of Customized Diffusion Models NeurIPS 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 Time is Encoded in the Weights of Finetuned Language Models ACL 2024 Training-Free Pretrained Model Merging CVPR 2024 Universal Neural Functionals NeurIPS 2024 Composing Parameter-Efficient Modules with Arithmetic Operation NeurIPS 2023 Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023 Editing models with task arithmetic ICLR 2023 Git Re-Basin: Merging Models modulo Permutation Symmetries ICLR 2023 Knowledge is a Region in Weight Space for Fine-tuned Language Models EMNLP 2023 Neural Functional Transformers NeurIPS 2023 Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning ICLR 2023 Model Zoos: A Dataset of Diverse Populations of Neural Network Models NeurIPS 2022 Functional vs. parametric equivalence of ReLU networks ICLR 2020 Position-based Scaled Gradient for Model Quantization and Pruning NeurIPS 2020