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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 8926–8950 of 10033 papers

TitleStatusHype
Swarm Intelligence in Semi-supervised Classification—0
Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods—0
Facies classification from well logs using an inception convolutional network—0
Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning—0
Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline—0
Bayesian fairness—0
Feature Extraction for Machine Learning Based Crackle Detection in Lung Sounds from a Health Survey—0
The ALAMO approach to machine learning—0
Federated Multi-Task LearningCode0
The Cramer Distance as a Solution to Biased Wasserstein GradientsCode0
Solving the Conjugacy Decision Problem via Machine Learning—0
Machine Learned Learning Machines—0
Machine learning for graph-based representations of three-dimensional discrete fracture networks—0
Multimodal Machine Learning: A Survey and Taxonomy—0
Near-linear time approximation algorithms for optimal transport via Sinkhorn iterationCode0
Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning—0
Optimal Cooperative Inference—0
Ambiguity set and learning via Bregman and Wasserstein—0
The Marginal Value of Adaptive Gradient Methods in Machine LearningCode0
Patchnet: Interpretable Neural Networks for Image Classification—0
Personalized and Private Peer-to-Peer Machine Learning—0
Towards Interrogating Discriminative Machine Learning Models—0
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems—0
Effective injury forecasting in soccer with GPS training data and machine learning—0
Infrastructure for Usable Machine Learning: The Stanford DAWN Project—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified