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Cold Start Streaming Learning for Deep Networks


Nov 09, 2022
Cameron R. Wolfe, Anastasios Kyrillidis

* 52 pages, 7 figures, pre-print 

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PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication


Mar 20, 2022
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin

* ICLR 2022 

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i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery


Dec 07, 2021
Cameron R. Wolfe, Anastasios Kyrillidis

* 27 pages, 4 figures 

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Provably Efficient Lottery Ticket Discovery


Jul 31, 2021
Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis

* 27 pages, 6 figures 

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Exceeding the Limits of Visual-Linguistic Multi-Task Learning


Jul 27, 2021
Cameron R. Wolfe, Keld T. Lundgaard

* 10 pages, 7 figures 

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ResIST: Layer-Wise Decomposition of ResNets for Distributed Training


Jul 02, 2021
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis

* 11 pages 

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GIST: Distributed Training for Large-Scale Graph Convolutional Networks


Feb 20, 2021
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

* 17 pages, 5 figures, pre-print under review 

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Data Augmentation for Deep Transfer Learning


Nov 28, 2019
Cameron R. Wolfe, Keld T. Lundgaard

* 11 pages, 7 figures 

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Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search


Mar 25, 2019
Cameron R. Wolfe, Cem C. Tutum, Risto Miikkulainen

* 7 pages, GECCO 2019 

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