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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 251–260 of 10033 papers

TitleStatusHype
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?Code1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
Dynamic Parameter Allocation in Parameter ServersCode1
A benchmark study on reliable molecular supervised learning via Bayesian learningCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsCode1
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified