neural network weight

Generative Modeling of Weights: Generalization or Memorization? CVPR 2026 WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026 MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction AAAI 2025 Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning ACL 2025 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Implicit Representations via Operator Learning ICML 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ICLR 2024 Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023 Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights NeurIPS 2022 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NeurIPS 2021 Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020 Improving generalization by controlling label-noise information in neural network weights ICML 2020 Scalable Model Compression by Entropy Penalized Reparameterization ICLR 2020 Detecting Statistical Interactions from Neural Network Weights ICLR 2018