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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5001–5050 of 10033 papers

TitleStatusHype
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings—0
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models—0
Manifold for Machine Learning Assurance—0
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models—0
Manipulation-Proof Machine Learning—0
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection—0
Mapping fNIRS to fMRI with Neural Data Augmentation and Machine Learning Models—0
Mapping illegal waste dumping sites with neural-network classification of satellite imagery—0
Mapping of Narrative Text Fields To ICD-10 Codes Using Natural Language Processing and Machine Learning—0
Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades—0
Mapping Research Trajectories—0
MARFCAT: Transitioning to Binary and Larger Data Sets of SATE IV—0
Marginal likelihood computation for model selection and hypothesis testing: an extensive review—0
Markov chain Hebbian learning algorithm with ternary synaptic units—0
Markov Chain Importance Sampling -- a highly efficient estimator for MCMC—0
Markov chains in random environment with applications in queueing theory and machine learning—0
Markov model with machine learning integration for fraud detection in health insurance—0
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution—0
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection—0
Massive MIMO Channel Measurements and Achievable Rates in a Residential Area—0
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning—0
Personalization of Deep Learning—0
Mathematical Perspective of Machine Learning—0
Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms—0
Matrix Factorization via Deep Learning—0
Matrix Sketching for Secure Collaborative Machine Learning—0
Maximin affinity learning of image segmentation—0
Maximizing information from chemical engineering data sets: Applications to machine learning—0
Maximizing Non-Monotone DR-Submodular Functions with Cardinality Constraints—0
MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry—0
MCPA: Program Analysis as Machine Learning—0
MDEA: Malware Detection with Evolutionary Adversarial Learning—0
MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power—0
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis—0
Mean-field methods and algorithmic perspectives for high-dimensional machine learning—0
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns—0
Meaningful Models: Utilizing Conceptual Structure to Improve Machine Learning Interpretability—0
Measure Contribution of Participants in Federated Learning—0
Measures of distortion for machine learning—0
Measure Transformer Semantics for Bayesian Machine Learning—0
Measure Utility, Gain Trust: Practical Advice for XAI Researcher—0
Measuring and modeling the motor system with machine learning—0
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors—0
Measuring Pain in Sickle Cell Disease using Clinical Text—0
Measuring Social Biases of Crowd Workers using Counterfactual Queries—0
Measuring the Completeness of Theories—0
Measuring the originality of intellectual property assets based on machine learning outputs—0
Measuring the Quality of Exercises—0
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification—0
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach—0
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Benchmark Results

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1Fb232account and password 100—Unverified