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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 311–320 of 10033 papers

TitleStatusHype
Scalars are universal: Equivariant machine learning, structured like classical physicsCode1
Efficient Active Search for Combinatorial Optimization ProblemsCode1
Neighborhood Contrastive Learning Applied to Online Patient MonitoringCode1
Explaining Time Series Predictions with Dynamic MasksCode1
Equivariant Graph Neural Networks for 3D Macromolecular StructureCode1
Ukiyo-e Analysis and Creativity with Attribute and Geometry AnnotationCode1
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural NetworksCode1
Materials Representation and Transfer Learning for Multi-Property PredictionCode1
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public TrainingCode1
Solving Schrödinger Bridges via Maximum LikelihoodCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified