Cameron R. Wolfe

22 papers A* 1A 2Misc 1Journal 16Unranked 2

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