SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 6026–6050 of 10033 papers

TitleStatusHype
A Note on Our Submission to Track 4 of iDASH 2019—0
PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions—0
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications—0
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules—0
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning—0
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning—0
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning—0
Machine learning and serving of discrete field theories -- when artificial intelligence meets the discrete universe—0
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functionsCode0
Artificial Intelligence and the Future of Psychiatry: Qualitative Findings from a Global Physician Survey—0
The Softwarised Network Data ZooCode0
Shallow Art: Art Extension Through Simple Machine Learning—0
Quantifying the Carbon Emissions of Machine LearningCode0
A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification—0
Coercing Machine Learning to Output Physically Accurate Results—0
Causal bootstrapping—0
Using machine learning and information visualisation for discovering latent topics in Twitter news—0
Two Case Studies of Experience Prototyping Machine Learning Systems in the Wild—0
Bayesian Optimization Allowing for Common Random Numbers—0
Extracting local switching fields in permanent magnets using machine learning—0
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and MethodsCode0
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier—0
Toward automatic comparison of visualization techniques: Application to graph visualization—0
Model Order Selection in DoA Scenarios via Cross-Entropy based Machine Learning Techniques—0
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified