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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 401–410 of 10033 papers

TitleStatusHype
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
FedMood: Federated Learning on Mobile Health Data for Mood DetectionCode1
Adversarial Robustness for CodeCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Fighting an Infodemic: COVID-19 Fake News DatasetCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
FOD-A: A Dataset for Foreign Object Debris in AirportsCode1
Approximate Network Motif Mining Via Graph LearningCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Applied Federated Learning: Improving Google Keyboard Query SuggestionsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified