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Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale


Apr 15, 2022
Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed Soliman

* ACM SIGMOD 2022 

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Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine


Feb 04, 2022
Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman


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Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins


Jun 02, 2021
Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas


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Learning Massive Graph Embeddings on a Single Machine


Jan 20, 2021
Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

* Under review 

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Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion


Oct 14, 2020
Ankur Goswami, Akshata Bhat, Hadar Ohana, Theodoros Rekatsinas

* 14 pages, 5 figures, Accepted to Findings of EMNLP 2020 

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Principal Component Networks: Parameter Reduction Early in Training


Jun 23, 2020
Roger Waleffe, Theodoros Rekatsinas


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Record fusion: A learning approach


Jun 18, 2020
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas

* 18 pages, 9 figures 

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An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation


Jun 09, 2020
Deepan Das, Haley Massa, Abhimanyu Kulkarni, Theodoros Rekatsinas


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Picket: Self-supervised Data Diagnostics for ML Pipelines


Jun 08, 2020
Zifan Liu, Zhechun Zhou, Theodoros Rekatsinas

* 14 pages, 10 figures 

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