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Coded-InvNet for Resilient Prediction Serving Systems


Jun 24, 2021
Tuan Dinh, Kangwook Lee


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Permutation-Based SGD: Is Random Optimal?


Feb 19, 2021
Shashank Rajput, Kangwook Lee, Dimitris Papailiopoulos


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FairBatch: Batch Selection for Model Fairness


Dec 03, 2020
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh


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SLM: Learning a Discourse Language Representation with Sentence Unshuffling


Oct 30, 2020
Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning

* EMNLP 2020 

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Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification


Oct 29, 2020
Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris Papailiopoulos


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Attack of the Tails: Yes, You Really Can Backdoor Federated Learning


Jul 09, 2020
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos


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Discrete-valued Preference Estimation with Graph Side Information


Mar 16, 2020
Changhun Jo, Kangwook Lee

* 27 pages, 5 figures 

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FR-Train: A mutual information-based approach to fair and robust training


Feb 24, 2020
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh


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Hypergraph Spectral Clustering in the Weighted Stochastic Block Model


May 23, 2018
Kwangjun Ahn, Kangwook Lee, Changho Suh

* October 2018 special issue on "Information-Theoretic Methods in Data Acquisition, Analysis, and Processing" of the IEEE Journal of Selected Topics in Signal Processing 
* 16 pages; 3 figures 

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Speeding Up Distributed Machine Learning Using Codes


Jan 29, 2018
Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris Papailiopoulos, Kannan Ramchandran

* This work is published in IEEE Transactions on Information Theory and presented in part at the NIPS 2015 Workshop on Machine Learning Systems and the IEEE ISIT 2016 

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Community Recovery in Hypergraphs


Sep 12, 2017
Kwangjun Ahn, Kangwook Lee, Changho Suh

* 25 pages, 7 figures. Submitted to IEEE Transacations on Information Theory 

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