2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
Jiaqi Gu, Hanqing Zhu, Chenghao Feng +4
Deep neural networks (DNN) have shown superior performance in a variety of tasks. As they rapidly evolve, their escalating computation and memory demands make it challenging to dep…
cs.LG2021★ 2 cited
Optimizer Fusion: Efficient Training with Better Locality and Parallelism
Zixuan Jiang, Jiaqi Gu, Mingjie Liu +2
Machine learning frameworks adopt iterative optimizers to train neural networks. Conventional eager execution separates the updating of trainable parameters from forward and backwa…