Co-occurring keywords · papers mentioning both
Papers
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
NeurIPS 2023
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
ICML 2022
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks
JMLR 2021
On ADMM in Deep Learning: Convergence and Saturation-Avoidance
JMLR 2021
Supervised Domain Enablement Attention for Personalized Domain Classification
EMNLP 2018
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
NeurIPS 2017