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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 431–440 of 10033 papers

TitleStatusHype
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
Dataset Optimization Strategies for MalwareTraffic DetectionCode1
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
BAGEL: A Benchmark for Assessing Graph Neural Network ExplanationsCode1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of VehiclesCode1
A flow-based IDS using Machine Learning in eBPFCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified