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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 601–610 of 10033 papers

TitleStatusHype
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
GIST: Distributed Training for Large-Scale Graph Convolutional NetworksCode1
Dataset Dynamics via Gradient Flows in Probability SpaceCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpusCode1
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processingCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine LearningCode1
Detecting Hateful Memes Using a Multimodal Deep EnsembleCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified