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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 2501–2525 of 10033 papers

TitleStatusHype
Sample selection from a given dataset to validate machine learning models—0
From Human Explanation to Model Interpretability: A Framework Based on Weight of EvidenceCode0
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization—0
Discovering nonlinear resonances through physics-informed machine learning—0
On the Importance of 3D Surface Information for Remote Sensing Classification Tasks—0
Bridging observation, theory and numerical simulation of the ocean using Machine Learning—0
Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset—0
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT—0
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification—0
Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis—0
Invariant polynomials and machine learningCode0
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility RulesCode0
Machine Learning Approaches for Binary Classification to Discover Liver Diseases using Clinical Data—0
RP-DQN: An application of Q-Learning to Vehicle Routing Problems—0
Highly Efficient Memory Failure Prediction using Mcelog-based Data Mining and Machine LearningCode0
Analysis of Online Toxicity Detection Using Machine Learning Approaches—0
Automated News Summarization Using Transformers—0
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
Grouped Feature Importance and Combined Features Effect PlotCode1
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes—0
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
Chasing Collective Variables using Autoencoders and biased trajectories—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Machine-Learning Assisted Optimization Strategies for Phase Change Materials Embedded within Electronic Packages—0
Künstliche Intelligenz, quo vadis?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified