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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9551–9575 of 10033 papers

TitleStatusHype
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling—0
Statistical Parsing by Machine Learning from a Classical Arabic Treebank—0
A Framework for Distributed Deep Learning Layer Design in Python—0
On the Computability of AIXI—0
Application of Machine Learning Techniques in Human Activity Recognition—0
Social Media Analysis for Product Safety using Text Mining and Sentiment Analysis—0
Improving Back-Propagation by Adding an Adversarial GradientCode0
Hybrid Dialog State Tracker—0
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels—0
Toward a Better Understanding of Leaderboard—0
The Inductive Constraint Programming Loop—0
Survey on Feature Selection—0
Technical Report of Participation in Higgs Boson Machine Learning Challenge—0
New Optimisation Methods for Machine Learning—0
Distilling Model KnowledgeCode0
Stochastic subGradient Methods with Linear Convergence for Polyhedral Convex Optimization—0
Cross-Device Tracking: Matching Devices and CookiesCode0
Within-Brain Classification for Brain Tumor Segmentation—0
Distributed Parameter Map-Reduce—0
Machine Learning for Machine Data from a CATI Network—0
A Primer on Neural Network Models for Natural Language ProcessingCode0
Supporting Regularized Logistic Regression Privately and Efficiently—0
A Machine Learning Method to Distinguish Machine Translation from Human Translation—0
Variational Information Maximisation for Intrinsically Motivated Reinforcement LearningCode0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified