random weight

Expressivity of Neural Networks with Random Weights and Learned Biases ICLR 2025 Efficient Dependency Tree Sampling Without Replacement NAACL 2024 How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers ICML 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023 How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023 Adversarial Reprogramming Revisited NeurIPS 2022 Parameter-Efficient Masking Networks NeurIPS 2022 Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Non-asymptotic approximations of neural networks by Gaussian processes COLT 2021 On the Approximation Power of Two-Layer Networks of Random ReLUs COLT 2021 Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021 What's Hidden in a Randomly Weighted Neural Network? CVPR 2020 Weight Agnostic Neural Networks NeurIPS 2019 Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes NeurIPS 2019 A Powerful Generative Model Using Random Weights for the Deep Image Representation NeurIPS 2016