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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 97269750 of 10033 papers

TitleStatusHype
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification ProblemsCode0
Robust Learning-Augmented Caching: An Experimental StudyCode0
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power SystemsCode0
A Machine Learning Framework for Biometric Authentication using ElectrocardiogramCode0
Robust Learning with Jacobian RegularizationCode0
TAC at SemEval-2020 Task 12: Ensembling Approach for Multilingual Offensive Language Identification in Social MediaCode0
A Machine Learning Framework for Automatic Prediction of Human Semen MotilityCode0
Determinantal point processes for machine learningCode0
Sparse data to structured imageset transformationCode0
Robustness Analysis of Deep Learning Frameworks on Mobile PlatformsCode0
Tackling Climate Change with Machine LearningCode0
Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine LearningCode0
Machine learning of Kondo physics using variational autoencoders and symbolic regressionCode0
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned FeaturesCode0
Towards Secure and Practical Machine Learning via Secret Sharing and Random PermutationCode0
Unrestricted Adversarial ExamplesCode0
A Survey on Large-scale Machine LearningCode0
Detection of False Positive and False Negative Samples in Semantic SegmentationCode0
Robust Optimization using Machine Learning for Uncertainty SetsCode0
Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited dataCode0
Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristicCode0
A Survey on Fairness for Machine Learning on GraphsCode0
Spatial machine-learning model diagnostics: a model-agnostic distance-based approachCode0
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous RobotsCode0
Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified