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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 4141–4150 of 10033 papers

TitleStatusHype
Communication-Efficient Weighted Sampling and Quantile Summary for GBDT—0
A flexible framework for communication-efficient machine learning: from HPC to IoT—0
Application Inference using Machine Learning based Side Channel Analysis—0
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data—0
Communication-efficient k-Means for Edge-based Machine Learning—0
A Learning Theoretic Perspective on Local Explainability—0
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG—0
GPU Acceleration of Sparse Neural Networks—0
Graceful Degradation and Related Fields—0
Communication Efficient Distributed Machine Learning with the Parameter Server—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified