Co-occurring keywords · papers mentioning both
Papers
Learning a Single Neuron with Gradient Methods
COLT 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
NeurIPS 2020
The interplay between randomness and structure during learning in RNNs
NeurIPS 2020
Blind Demixing via Wirtinger Flow with Random Initialization
AISTATS 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
ICML 2019
Rethinking ImageNet Pre-Training
ICCV 2019
Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?
NeurIPS 2018
Gradient Descent Only Converges to Minimizers
COLT 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
NeurIPS 2016