EsaCL: Efficient Continual Learning of Sparse Models

11 January 2024

Papers citing "EsaCL: Efficient Continual Learning of Sparse Models"

4 / 4 papers shown

Title
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 26 3 0 14 Jun 2024
SparCL: Sparse Continual Learning on the Edge Zifeng Wang Zheng Zhan Yifan Gong Geng Yuan Wei Niu T. Jian Bin Ren Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 63 58 0 20 Sep 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 299 2,890 0 15 Sep 2016