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AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
With the rapid adoption of machine learning (ML), a number of domains no...
02/02/2021 ∙ by Yuhan Liu, et al. ∙
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Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
Distributed model training suffers from communication bottlenecks due to...
10/29/2020 ∙ by Saurabh Agarwal, et al. ∙
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Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Due to its decentralized nature, Federated Learning (FL) lends itself to...
07/09/2020 ∙ by Hongyi Wang, et al. ∙
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Scalable K-Medoids via True Error Bound and Familywise Bandits
K-Medoids(KM) is a standard clustering method, used extensively on semi-...
05/27/2019 ∙ by Aravindakshan Babu, et al. ∙
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Graph based Question Answering System
In today's digital age in the dawning era of big data analytics it is no...
12/05/2018 ∙ by Piyush Mital, et al. ∙
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A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval
Trademark Image Retrieval is playing a vital role as a part of CBIR Syst...
11/08/2014 ∙ by Saurabh Agarwal, et al. ∙
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