Co-occurring keywords · papers mentioning both
Papers
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
ICLR 2020
Train-by-Reconnect: Decoupling Locations of Weights from Their Values
NeurIPS 2020
What's Hidden in a Randomly Weighted Neural Network?
CVPR 2020
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
NeurIPS 2019
Initialization of ReLUs for Dynamical Isometry
NeurIPS 2019
MetaInit: Initializing learning by learning to initialize
NeurIPS 2019
On the Impact of the Activation function on Deep Neural Networks Training
ICML 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
ICLR 2019
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
ACL 2019
How to Start Training: The Effect of Initialization and Architecture
NeurIPS 2018
Invariance of Weight Distributions in Rectified MLPs
ICML 2018
Learning Steerable Filters for Rotation Equivariant CNNs
CVPR 2018
Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces
Interspeech 2018
Initializing Convolutional Filters with Semantic Features for Text Classification
EMNLP 2017
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
NeurIPS 2017
Bank of Weight Filters for Deep CNNs
ACML 2016
Learning by Stretching Deep Networks
ICML 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders
NeurIPS 2014
Understanding the difficulty of training deep feedforward neural networks
AISTATS 2010