SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 97019750 of 10033 papers

TitleStatusHype
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic modelsCode0
Ballpark Crowdsourcing: The Wisdom of Rough Group ComparisonsCode0
Individualized Prediction of COVID-19 Adverse outcomes with MLHOCode0
Theoretical Robopsychology: Samu Has Learned Turing MachinesCode0
Attributional Robustness Training using Input-Gradient Spatial AlignmentCode0
Model Transferability With Responsive Decision SubjectsCode0
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control ProblemsCode0
Machine learning in policy evaluation: new tools for causal inferenceCode0
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral dataCode0
Developing a Fidelity Evaluation Approach for Interpretable Machine LearningCode0
Probing hidden spin order with interpretable machine learningCode0
Machine Learning in Precision Medicine to Preserve Privacy via EncryptionCode0
VDMS: Efficient Big-Visual-Data Access for Machine Learning WorkloadsCode0
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignCode0
Coordinated Double Machine LearningCode0
On the computation of counterfactual explanations -- A surveyCode0
SpaceNet: A Remote Sensing Dataset and Challenge SeriesCode0
InfiniteBoost: building infinite ensembles with gradient descentCode0
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual InformationsCode0
How to compare adversarial robustness of classifiers from a global perspectiveCode0
AdaGrid: Adaptive Grid Search for Link Prediction Training ObjectiveCode0
Determining the best classifier for predicting the value of a boolean field on a blood donor database using genetic algorithmsCode0
On the Development of a Large Scale Corpus for Native Language IdentificationCode0
Convex Density Constraints for Computing Plausible Counterfactual ExplanationsCode0
Information-theoretic bounds on quantum advantage in machine learningCode0
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

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