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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 8326–8350 of 10033 papers

TitleStatusHype
Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps—0
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity—0
Quantum Model-Discovery—0
Quantum Multiple Kernel Learning—0
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization—0
Quantum Neural Machine Learning - Backpropagation and Dynamics—0
Quantum neural networks force fields generation—0
Quantum Optical Experiments Modeled by Long Short-Term Memory—0
Quantum Privacy-Preserving Perceptron—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified