Co-occurring keywords · papers mentioning both
Papers
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning
AAAI 2022
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
ICML 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
ICML 2021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
ICML 2021
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
ICML 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks
AAAI 2020
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
NeurIPS 2019
Posterior Concentration for Sparse Deep Learning
NeurIPS 2018