SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7101–7150 of 10033 papers

TitleStatusHype
Machine learning with kernels for portfolio valuation and risk management—0
Machine learning with limited data—0
Machine Learning with Memristors via Thermodynamic RAM—0
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects—0
Machine Learning with Operational Costs—0
Machine learning without a feature set for detecting bursts in the EEG of preterm infants—0
Machine learning with quantum field theories—0
Machine Learning with the Sugeno Integral: The Case of Binary Classification—0
Machine Learning with World Knowledge: The Position and Survey—0
Machine olfaction using time scattering of sensor multiresolution graphs—0
Machine Teaching: A New Paradigm for Building Machine Learning Systems—0
Machine Translation from Natural Language to Code using Long-Short Term Memory—0
Machine Truth Serum—0
Machinic Surrogates: Human-Machine Relationships in Computational Creativity—0
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices—0
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications—0
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications—0
MAGIX: Model Agnostic Globally Interpretable Explanations—0
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings—0
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms—0
Majority Voting and the Condorcet's Jury Theorem—0
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning—0
Making learning more transparent using conformalized performance prediction—0
Making Sense of Random Forest Probabilities: a Kernel Perspective—0
Making use of supercomputers in financial machine learning—0
Malicious URL Detection using Machine Learning: A Survey—0
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue—0
Malware Analysis with Symbolic Execution and Graph Kernel—0
Malware Classification with Word Embedding Features—0
Malware Detection using Machine Learning and Deep Learning—0
Malware Evasion Attack and Defense—0
Manage risks in complex engagements by leveraging organization-wide knowledge using Machine Learning—0
Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?—0
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified