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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 2001–2050 of 10033 papers

TitleStatusHype
Machine Learning Challenges and Opportunities in the African Agricultural Sector -- A General Perspective—0
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning—0
Machine Learning based CVD Virtual Metrology in Mass Produced Semiconductor Process—0
Practical and Configurable Network Traffic Classification Using Probabilistic Machine LearningCode0
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls—0
Towards a Multimodal System for Precision Agriculture using IoT and Machine Learning—0
SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine LearningCode0
Structured Hammerstein-Wiener Model Learning for Model Predictive Control—0
A Topological-Framework to Improve Analysis of Machine Learning Model Performance—0
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation—0
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platformCode1
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions—0
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications—0
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models—0
Challenges for machine learning in clinical translation of big data imaging studiesCode0
Tropical cyclone intensity estimations over the Indian ocean using Machine Learning—0
Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones—0
A Survey on Data Augmentation for Text Classification—0
An Orchestration Platform that Puts Radiologists in the Driver's Seat of AI Innovation: A Methodological Approach—0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Predicting Exporters with Machine LearningCode0
Shell Language Processing: Unix command parsing for Machine LearningCode1
An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather DataCode0
Evaluating subgroup disparity using epistemic uncertainty in mammography—0
A Model-Driven Approach to Machine Learning and Software Modeling for the IoTCode1
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