shallow neural network

Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data JMLR 2026 Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026 Random ReLU Neural Networks as Non-Gaussian Processes JMLR 2025 Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning NeurIPS 2024 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023 Leveraging the two-timescale regime to demonstrate convergence of neural networks NeurIPS 2023 A Classification of G-invariant Shallow Neural Networks NeurIPS 2022 Learning single-index models with shallow neural networks NeurIPS 2022 Non-Vacuous Generalisation Bounds for Shallow Neural Networks ICML 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks NeurIPS 2022 On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021 The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks COLT 2021 A Dynamical Central Limit Theorem for Shallow Neural Networks NeurIPS 2020 An analytic theory of shallow networks dynamics for hinge loss classification NeurIPS 2020 Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks ICLR 2020 BPAM: Recommendation Based on BP Neural Network with Attention Mechanism IJCAI 2019 Efficient Deep Approximation of GMMs NeurIPS 2019 Neural Network based Extreme Classification and Similarity Models for Product Matching NAACL 2018 Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation Interspeech 2016