SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5401–5450 of 10033 papers

TitleStatusHype
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning—0
Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop—0
Numerical Gaussian process Kalman filtering for spatiotemporal systems—0
Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches—0
NURBS-Diff: A Differentiable Programming Module for NURBS—0
Nystrom Method for Approximating the GMM Kernel—0
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks—0
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends—0
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models—0
Observing the Population Dynamics in GE by means of the Intrinsic Dimension—0
Occupancy Detection in Room Using Sensor Data—0
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation—0
Offensive Video Detection: Dataset and Baseline Results—0
Offline Handwritten Recognition of Malayalam District Name - A Holistic Approach—0
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints—0
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack—0
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
Show:102550
← PrevPage 109 of 201Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified