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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 226–250 of 10033 papers

TitleStatusHype
Automated Essay Scoring Using Transformer ModelsCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random ForestsCode1
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance ComputingCode1
Shapley variable importance clouds for interpretable machine learningCode1
FOD-A: A Dataset for Foreign Object Debris in AirportsCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement PredictionCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
New Evolutionary Computation Models and their Applications to Machine LearningCode1
A survey on datasets for fairness-aware machine learningCode1
ML4ML: Automated Invariance Testing for Machine Learning ModelsCode1
Unbiased Single-scale and Multi-scale Quantizers for Distributed OptimizationCode1
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial IntelligenceCode1
Merlion: A Machine Learning Library for Time SeriesCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
adabmDCA: Adaptive Boltzmann machine learning for biological sequencesCode1
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
Machine learning modeling of family wide enzyme-substrate specificity screensCode1
Entangled Datasets for Quantum Machine LearningCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified