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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
Generalization Error of Generalized Linear Models in High DimensionsCode0
The Grammar of Interactive Explanatory Model AnalysisCode1
Performance Accuration Method of Machine Learning for Diabetes PredictionCode0
Effective Handwritten Digit Recognition using Deep Convolution Neural NetworkCode0
The Information Bottleneck Problem and Its Applications in Machine Learning—0
NUBIA: NeUral Based Interchangeability Assessor for Text GenerationCode1
Dynamic backup workers for parallel machine learning—0
Extending machine learning classification capabilities with histogram reweighting—0
Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin LiquidsCode0
Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning—0
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture—0
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline—0
Neural Additive Models: Interpretable Machine Learning with Neural NetsCode1
Reduced Bond Graph via machine learning for nonlinear multiphysics dynamic systems—0
Nonlinear Regression Analysis Using Multi-Verse Optimizer—0
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors—0
Private Dataset Generation Using Privacy Preserving Collaborative LearningCode0
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological NetworksCode1
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index—0
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning ArchitecturesCode0
Quantum-inspired Machine Learning on high-energy physics data—0
Machine Learning Based Mobile Network Throughput Classification—0
The Dark Side of Unikernels for Machine LearningCode0
Autoencoding Neural Networks as Musical Audio Synthesizers—0
Difficulty Translation in Histopathology ImagesCode0
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated LearningCode1
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias—0
Deep k-NN for Noisy Labels—0
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning—0
Memory-efficient training with streaming dimensionality reduction—0
Quantum machine learning and quantum biomimetics: A perspective—0
SplitFed: When Federated Learning Meets Split LearningCode1
NetML: A Challenge for Network Traffic AnalyticsCode1
Clustering by Constructing Hyper-Planes—0
Semi-Lexical Languages -- A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision—0
An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature SelectionCode1
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class—0
Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models—0
Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning—0
A survey on domain adaptation theory: learning bounds and theoretical guarantees—0
A Review of Privacy-preserving Federated Learning for the Internet-of-Things—0
Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms—0
Adversarial Machine Learning in Network Intrusion Detection Systems—0
ArchNet: Data Hiding Model in Distributed Machine Learning System—0
Self-supervised Learning for Astronomical Image Classification—0
Adversarial Attacks and Defenses: An Interpretation Perspective—0
From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified