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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 2026–2050 of 10033 papers

TitleStatusHype
When and How to Fool Explainable Models (and Humans) with Adversarial ExamplesCode0
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems—0
Android Malware Category and Family Detection and Identification using Machine Learning—0
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities—0
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda—0
Machine Learning for Malware Evolution Detection—0
Quantifying machine learning-induced overdiagnosis in sepsis—0
Species Distribution Modeling for Machine Learning Practitioners: A Review—0
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization—0
Solving Machine Learning ProblemsCode0
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden ContributorsCode1
Road Roughness Estimation Using Machine Learning—0
Trees with Attention for Set Prediction TasksCode1
Machine Learning-Based Analysis of Free-Text Keystroke Dynamics—0
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated—0
Geometric Machine Learning for Channel Covariance Estimation in Vehicular Networks—0
Machine learning based iterative learning control for non-repetitive time-varying systems—0
Overhead-MNIST: Machine Learning Baselines for Image Classification—0
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics—0
Shared Data and Algorithms for Deep Learning in Fundamental PhysicsCode1
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity—0
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?—0
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges—0
Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine LearningCode1
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified