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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 6201–6250 of 10033 papers

TitleStatusHype
Quantum federated learning through blind quantum computing—0
Quantum Semi-Supervised Kernel Learning—0
Quantum Semi-Supervised Learning with Quantum Supremacy—0
Quantum Speedup in Adaptive Boosting of Binary Classification—0
Quantum Superposition Inspired Spiking Neural Network—0
Quantum support vector machine for big data classification—0
Quantum tangent kernel—0
Quantum versus Classical Generative Modelling in Finance—0
Quasi-Monte Carlo sampling for machine-learning partial differential equations—0
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning—0
QUERY-EFFICIENT DECISION-BASED SPARSE ATTACKS AGAINST BLACK-BOX MACHINE LEARNING MODELS—0
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach—0
Query Expansion with Locally-Trained Word Embeddings—0
QUEST: Queue Simulation for Content Moderation at Scale—0
QUIC-SVD: Fast SVD Using Cosine Trees—0
Qunatification of Metabolites in MR Spectroscopic Imaging using Machine Learning—0
Racial categories in machine learning—0
Radar Human Motion Classification Using Multi-Antenna System—0
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images—0
Radiological images and machine learning: trends, perspectives, and prospects—0
Radiomic feature selection for lung cancer classifiers—0
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma—0
Railway Anomaly detection model using synthetic defect images generated by CycleGAN—0
Rallying Adversarial Techniques against Deep Learning for Network Security—0
Raman Spectrum Matching with Contrastive Representation Learning—0
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring—0
Random Bits Regression: a Strong General Predictor for Big Data—0
Random Conic Pursuit for Semidefinite Programming—0
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions—0
Random forest model identifies serve strength as a key predictor of tennis match outcome—0
Random Fourier Feature Based Deep Learning for Wireless Communications—0
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives—0
Randomized co-training: from cortical neurons to machine learning and back again—0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
Randomized Prediction Games for Adversarial Machine Learning—0
Randomized Smoothing SVRG for Large-scale Nonsmooth Convex Optimization—0
Random matrices meet machine learning: a large dimensional analysis of LS-SVM—0
Random Matrix Improved Covariance Estimation for a Large Class of Metrics—0
Random Projection and Its Applications—0
Random Reshuffling with Variance Reduction: New Analysis and Better Rates—0
Federated Random Reshuffling with Compression and Variance Reduction—0
Rank-based Decomposable Losses in Machine Learning: A Survey—0
Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS—0
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines—0
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification—0
Rapid Bayesian optimisation for synthesis of short polymer fiber materials—0
Rapid building detection using machine learning—0
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks—0
RARD: The Related-Article Recommendation Dataset—0
Rare-Event Simulation for Neural Network and Random Forest Predictors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified