Wolfe, Cameron R.

6 publications

MLJ 2024 Better Schedules for Low Precision Training of Deep Neural Networks Cameron R. Wolfe, Anastasios Kyrillidis

TMLR 2024 How Much Pre-Training Is Enough to Discover a Good Subnetwork? Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

NeurIPSW 2022 GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

L4DC 2022 I-SpaSP: Structured Neural Pruning via Sparse Signal Recovery Cameron R. Wolfe, Anastasios Kyrillidis

ICLR 2022 PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin

UAI 2022 ResIST: Layer-Wise Decomposition of ResNets for Distributed Training Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis