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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 6601–6650 of 10033 papers

TitleStatusHype
IRNet: A General Purpose Deep Residual Regression Framework for Materials DiscoveryCode0
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification—0
Precision annealing Monte Carlo methods for statistical data assimilation and machine learning—0
Intelligent Systems Design for Malware Classification Under Adversarial Conditions—0
Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative MetricsCode0
Deep Neural Baselines for Computational Paralinguistics—0
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data—0
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation—0
On Explaining Machine Learning Models by Evolving Crucial and Compact Features—0
Subsampling Bias and The Best-Discrepancy Systematic Cross Validation—0
Fair Kernel Regression via Fair Feature Embedding in Kernel SpaceCode0
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation StudyCode0
Financial Time Series Data Processing for Machine LearningCode1
On a Randomized Multi-Block ADMM for Solving Selected Machine Learning ProblemsCode0
Machine learning and behavioral economics for personalized choice architecture—0
High-Throughput Machine Learning from Electronic Health Records—0
Towards Interpretable Deep Extreme Multi-label Learning—0
Learning to Predict Robot Keypoints Using Artificially Generated ImagesCode1
Cascade Attention Guided Residue Learning GAN for Cross-Modal TranslationCode0
Machine Learning based Prediction of Hierarchical Classification of Transposable Elements—0
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms—0
Reproducibility in Machine Learning for Health—0
Treant: Training Evasion-Aware Decision TreesCode0
sGDML: Constructing Accurate and Data Efficient Molecular Force Fields Using Machine LearningCode0
Flamb\'e: A Customizable Framework for Machine Learning Experiments—0
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text—0
Computational Ad Hominem DetectionCode0
An Environment for Relational Annotation of Political Debates—0
lingvis.io - A Linguistic Visual Analytics Framework—0
Natural Language Understanding with the Quora Question Pairs Dataset—0
Symmetry Detection and Classification in Drawings of GraphsCode0
An Open Source AutoML Benchmark—0
Short-term prediction of Electricity Outages Caused by Convective Storms—0
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection—0
System Misuse Detection via Informed Behavior Clustering and Modeling—0
Two-stage Optimization for Machine Learning WorkflowCode0
Variational Quantum Circuits for Deep Reinforcement LearningCode0
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks—0
An Enhanced Electrocardiogram Biometric Authentication System Using Machine LearningCode0
Machine Learning Approach for Reliability Assessment of Open Source Software—0
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges—0
Training individually fair ML models with Sensitive Subspace RobustnessCode0
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning—0
Rényi Fair Inference—0
Simple Natural Language Processing Tools for DanishCode0
Symphony of high-dimensional brain—0
Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine LearningCode0
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics—0
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex OptimizationCode0
Identifying DNS-tunneled traffic with predictive models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified