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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7151–7200 of 10033 papers

TitleStatusHype
The many dimensions of algorithmic fairness in educational applications—0
The Mathematical Foundations of Manifold Learning—0
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction—0
The Modeling of SDL Aiming at Knowledge Acquisition in Automatic Driving—0
The Monge-Kantorovich Optimal Transport Distance for Image Comparison—0
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning—0
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence—0
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges—0
Theoretical Understandings of Product Embedding for E-commerce Machine Learning—0
Process, Bias and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning—0
Theory-Guided Machine Learning for Process Simulation of Advanced Composites—0
Theory In, Theory Out: The uses of social theory in machine learning for social science—0
Provable Training Set Debugging for Linear Regression—0
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons—0
Theory of the GMM Kernel—0
The 'Paris-end' of town? Urban typology through machine learning—0
The PHOTON Wizard -- Towards Educational Machine Learning Code Generators—0
The Physical Systems Behind Optimization Algorithms—0
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist—0
The Potential of Machine Learning and NLP for Handling Students' Feedback (A Short Survey)—0
Enhancing Computational Fluid Dynamics with Machine Learning—0
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets—0
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs—0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)—0
The Preference Learning Toolbox—0
The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks—0
The Prevalence of Errors in Machine Learning Experiments—0
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures—0
The principle of cognitive action - Preliminary experimental analysis—0
The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics—0
The R2I\_LIS Team Proposes Majority Vote for VarDial's MRC Task—0
The RatioLog Project: Rational Extensions of Logical Reasoning—0
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling—0
The relationship between trust in AI and trustworthy machine learning technologies—0
The RFML Ecosystem: A Look at the Unique Challenges of Applying Deep Learning to Radio Frequency Applications—0
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning—0
The Risk of Machine Learning—0
The Risks and Rewards of Invariant Risk Minimization—0
The Risks of Machine Learning Systems—0
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware—0
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning—0
TherML: Thermodynamics of Machine Learning—0
TherML: The Thermodynamics of Machine Learning—0
Thermodynamic Machine Learning through Maximum Work Production—0
Thermodynamics and Feature Extraction by Machine Learning—0
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations—0
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection—0
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector—0
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare—0
The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified