Cameron R. Wolfe

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Distributed Learning

Graph Mining Algorithms

Top Venues

Proc. VLDB Endow.

Publications

Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
How Much Pre-training Is Enough to Discover a Good Subnetwork? Trans. Mach. Learn. Res. 2024 (2024)
Cameron R. Wolfe, Anastasios Kyrillidis
Better Schedules for Low Precision Training of Deep Neural Networks. CoRR (2024)
Cameron R. Wolfe, Anastasios Kyrillidis
Better schedules for low precision training of deep neural networks. Mach. Learn. 113 (6) (2024)
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR (2022)
John Chen, Cameron R. Wolfe, Tasos Kyrillidis
REX: Revisiting Budgeted Training with an Improved Schedule. MLSys (2022)
Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. 15 (8) (2022)
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
ResIST: Layer-wise decomposition of ResNets for distributed training. UAI (2022)
Cameron R. Wolfe, Anastasios Kyrillidis
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. L4DC (2022)
Cameron R. Wolfe, Anastasios Kyrillidis
Cold Start Streaming Learning for Deep Networks. CoRR (2022)
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR (2022)
John Chen, Cameron R. Wolfe, Zhao Li, Anastasios Kyrillidis
Demon: Improved Neural Network Training With Momentum Decay. ICASSP (2022)
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR (2021)
Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
Provably Efficient Lottery Ticket Discovery. CoRR (2021)
Cameron R. Wolfe, Keld T. Lundgaard
Exceeding the Limits of Visual-Linguistic Multi-Task Learning. CoRR (2021)
John Chen, Cameron R. Wolfe, Anastasios Kyrillidis
REX: Revisiting Budgeted Training with an Improved Schedule. CoRR (2021)
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR (2021)
Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs. CoRR (2021)
Cameron R. Wolfe, Anastasios Kyrillidis
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. CoRR (2021)
Cameron R. Wolfe, Keld T. Lundgaard
Data Augmentation for Deep Transfer Learning. CoRR (2019)
Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search. CoRR (2019)
Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen
Functional generative design of mechanisms with recurrent neural networks and novelty search. GECCO (2019)