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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 401450 of 10033 papers

TitleStatusHype
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Auditing Differentially Private Machine Learning: How Private is Private SGD?Code1
Adversarial Robustness for CodeCode1
Augmented Ultrasonic Data for Machine LearningCode1
A Unified View of Relational Deep Learning for Drug Pair ScoringCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
Automated Machine Learning on Graphs: A SurveyCode1
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation HealthCode1
AutoCLINT: The Winning Method in AutoCV Challenge 2019Code1
Auto-differentiable Ensemble Kalman FiltersCode1
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
Auto-KWS 2021 Challenge: Task, Datasets, and BaselinesCode1
Automated Essay Scoring Using Transformer ModelsCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
A Bayesian neural network predicts the dissolution of compact planetary systemsCode1
Data Shapley: Equitable Valuation of Data for Machine LearningCode1
Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept DriftCode1
Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North SeaCode1
DEAP Cache: Deep Eviction Admission and Prefetching for CacheCode1
Aerial Imagery Pile burn detection using Deep Learning: the FLAME datasetCode1
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine LearningCode1
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial PatchesCode1
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
Incorporating Unmodeled Dynamics Into First-Principles Models Through Machine LearningCode1
Automating In-Network Machine LearningCode1
Industrial Machine Tool Component Surface Defect DatasetCode1
Dataset Inference: Ownership Resolution in Machine LearningCode1
Data Readiness for Natural Language ProcessingCode1
Leakage of Dataset Properties in Multi-Party Machine LearningCode1
INSTANCE – the Italian seismic dataset for machine learningCode1
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
Interpretable Machine Learning Approaches to Prediction of Chronic HomelessnessCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
Data Minimization for GDPR Compliance in Machine Learning ModelsCode1
Interpretable Machine Learning with an Ensemble of Gradient Boosting MachinesCode1
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of VehiclesCode1
A flow-based IDS using Machine Learning in eBPFCode1
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction TaskCode1
Is Machine Learning Ready for Traffic Engineering Optimization?Code1
Data Debugging with Shapley Importance over End-to-End Machine Learning PipelinesCode1
j-Wave: An open-source differentiable wave simulatorCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine LearningCode1
Kernel methods library for pattern analysis and machine learning in pythonCode1
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision SensorsCode1
Data Programming: Creating Large Training Sets, QuicklyCode1
Dataset Optimization Strategies for MalwareTraffic DetectionCode1
Case study: Mapping potential informal settlements areas in Tegucigalpa with machine learning to plan ground surveyCode1
Cyclic Boosting -- an explainable supervised machine learning algorithmCode1
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Benchmark Results

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