SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7551–7600 of 10033 papers

TitleStatusHype
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning—0
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning—0
On a class of geodesically convex optimization problems solved via Euclidean MM methods—0
On a correlational clustering of integers—0
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit—0
On a scalable entropic breaching of the overfitting barrier in machine learning—0
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning—0
On-board Fault Diagnosis of a Laboratory Mini SR-30 Gas Turbine Engine—0
On Bootstrapping Machine Learning Performance Predictors via Analytical Models—0
On Calibration Neural Networks for extracting implied information from American options—0
On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques—0
On Combining Machine Learning with Decision Making—0
On Communication Complexity of Classification Problems—0
On conditional parity as a notion of non-discrimination in machine learning—0
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations—0
On Connecting Stochastic Gradient MCMC and Differential Privacy—0
On Connections between Regularizations for Improving DNN Robustness—0
On Consequentialism and Fairness—0
On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps—0
On Defending Against Label Flipping Attacks on Malware Detection Systems—0
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
On-device Federated Learning with Flower—0
On-Device Machine Learning: An Algorithms and Learning Theory Perspective—0
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization—0
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency—0
On Efficient Retrieval of Top Similarity Vectors—0
One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text—0
On Ensuring that Intelligent Machines Are Well-Behaved—0
One-Shot Generalization in Deep Generative Models—0
Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models—0
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification—0
On Explaining Machine Learning Models by Evolving Crucial and Compact Features—0
On exponential convergence of SGD in non-convex over-parametrized learning—0
On fast approximate submodular minimization—0
On Formalizing Fairness in Prediction with Machine Learning—0
Functional Aggregate Queries with Additive Inequalities—0
On Generalisability of Machine Learning-based Network Intrusion Detection Systems—0
On Generalization and Regularization in Deep Learning—0
On Graph Classification Networks, Datasets and Baselines—0
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems—0
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection—0
On Inferring Training Data Attributes in Machine Learning Models—0
On Interactive Machine Learning and the Potential of Cognitive Feedback—0
On Interpretability and Similarity in Concept-Based Machine Learning—0
On Learning and Testing of Counterfactual Fairness through Data Preprocessing—0
On Learning from Ghost Imaging without Imaging—0
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects—0
Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling—0
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches—0
Online and Scalable Model Selection with Multi-Armed Bandits—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified