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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 1826–1850 of 10033 papers

TitleStatusHype
Diagnosis of Acute Myeloid Leukaemia Using Machine Learning—0
A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source SystemsCode1
Towards Secure and Practical Machine Learning via Secret Sharing and Random PermutationCode0
Is Nash Equilibrium Approximator Learnable?—0
InfoGram and Admissible Machine Learning—0
Toward a `Standard Model' of Machine Learning—0
When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples—0
Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models—0
Understanding the factors driving the opioid epidemic using machine learning—0
Detecting and interpreting faults in vulnerable power grids with machine learning—0
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation—0
Pattern Inversion as a Pattern Recognition Method for Machine Learning—0
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis—0
Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery—0
Feature Recommendation for Structural Equation Model Discovery in Process Mining—0
The Sharpe predictor for fairness in machine learning—0
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets—0
Using Machine Learning to Predict Engineering Technology Students' Success with Computer Aided Design—0
Reinforcement Learning Approach to Active Learning for Image Classification—0
Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases—0
FreaAI: Automated extraction of data slices to test machine learning models—0
Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques—0
Machine Learning Model Drift Detection Via Weak Data Slices—0
Fairness Through Counterfactual UtilitiesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified