spectral bia

The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior ICCV 2023 A Computable Definition of the Spectral Bias AAAI 2022 Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting AAAI 2022 Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles IJCAI 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study NeurIPS 2022 Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022 Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks ICLR 2022 On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels NeurIPS 2022 Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022 Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022 Spectral Bias in Practice: The Role of Function Frequency in Generalization NeurIPS 2022 Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime NeurIPS 2022 The Spectral Bias of Polynomial Neural Networks ICLR 2022 Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021 Towards Understanding the Spectral Bias of Deep Learning IJCAI 2021 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains NeurIPS 2020 On the Spectral Bias of Neural Networks ICML 2019