Cameron R. Wolfe

According to our database, Cameron R. Wolfe authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

J. Appl. Comput. Topol., October, 2024

Better schedules for low precision training of deep neural networks.

Cameron R. Wolfe, Anastasios Kyrillidis

Mach. Learn., June, 2024

How Much Pre-training Is Enough to Discover a Good Subnetwork?

Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

Trans. Mach. Learn. Res., 2024

2022

Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training.

Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine

Proc. VLDB Endow., 2022

Cold Start Streaming Learning for Deep Networks.

Cameron R. Wolfe, Anastasios Kyrillidis

CoRR, 2022

ResIST: Layer-wise decomposition of ResNets for distributed training.

Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis

Proceedings of the Uncertainty in Artificial Intelligence, 2022

REX: Revisiting Budgeted Training with an Improved Schedule.

John Chen, Cameron R. Wolfe, Tasos Kyrillidis

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery.

Cameron R. Wolfe, Anastasios Kyrillidis

Proceedings of the Learning for Dynamics and Control Conference, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Demon: Improved Neural Network Training With Momentum Decay.

John Chen, Cameron R. Wolfe, Zhao Li, Anastasios Kyrillidis

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Provably Efficient Lottery Ticket Discovery.

Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

CoRR, 2021

Exceeding the Limits of Visual-Linguistic Multi-Task Learning.

Cameron R. Wolfe, Keld T. Lundgaard

CoRR, 2021

Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.

Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis

CoRR, 2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks.

Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

CoRR, 2021

2019

Data Augmentation for Deep Transfer Learning.

Cameron R. Wolfe, Keld T. Lundgaard

CoRR, 2019

Functional generative design of mechanisms with recurrent neural networks and novelty search.

Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2019