Co-occurring keywords · papers mentioning both
Papers
Global Convergence in Training Large-Scale Transformers
NeurIPS 2024
Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality
JMLR 2024
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
JMLR 2024
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
NeurIPS 2023
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
ICLR 2022
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
ICML 2020
How regularization affects the critical points in linear networks
NeurIPS 2017