SOTAVerified

Active Learning

Active Learning is a paradigm in supervised machine learning which uses fewer training examples to achieve better optimization by iteratively training a predictor, and using the predictor in each iteration to choose the training examples which will increase its chances of finding better configurations and at the same time improving the accuracy of the prediction model

Source: Polystore++: Accelerated Polystore System for Heterogeneous Workloads

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 3073 papers

TitleStatusHype
Active Learning Framework to Automate NetworkTraffic Classification—0
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition—0
A Linear Time Active Learning Algorithm for Link Classification—0
Active Learning from Imperfect Labelers—0
Active choice of teachers, learning strategies and goals for a socially guided intrinsic motivation learner—0
Active Learning from Peers—0
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems—0
ALLSH: Active Learning Guided by Local Sensitivity and Hardness—0
ALLWAS: Active Learning on Language models in WASserstein space—0
ALLWAS: Active Learning on Language models in WASserstein space—0
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems—0
Annotation-Efficient Polyp Segmentation via Active Learning—0
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper—0
ALPINE: Active Link Prediction using Network Embedding—0
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations—0
Active Learning Graph Neural Networks via Node Feature Propagation—0
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data—0
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling—0
ALVIN: Active Learning Via INterpolation—0
Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images—0
A Machine-learning framework for automatic reference-free quality assessment in MRI—0
A Markovian Formalism for Active Querying—0
Algorithmic Connections Between Active Learning and Stochastic Convex Optimization—0
Active Learning for Wireless IoT Intrusion Detection—0
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping—0
Amortized Active Learning for Nonparametric Functions—0
Active Learning-Based Optimization of Scientific Experimental Design—0
Amortized nonmyopic active search via deep imitation learning—0
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions—0
A Multitask Active Learning Framework for Natural Language Understanding—0
Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage—0
An active learning approach for improving the performance of equilibrium based chemical simulations—0
An Active Learning Approach for Jointly Estimating Worker Performance and Annotation Reliability with Crowdsourced Data—0
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation—0
An Active Learning Based Approach For Effective Video Annotation And Retrieval—0
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems—0
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion—0
Active Community Detection with Maximal Expected Model Change—0
An Active Learning Framework for Constructing High-fidelity Mobility Maps—0
An Active Learning Framework for Efficient Robust Policy Search—0
ALEX: Active Learning based Enhancement of a Model's Explainability—0
An active learning framework for multi-group mean estimation—0
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching—0
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification—0
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification—0
An active learning model to classify animal species in Hong Kong—0
An Active Parameter Learning Approach to The Identification of Safe Regions—0
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision—0
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering—0
Active Causal Learning for Decoding Chemical Complexities with Targeted Interventions—0
Show:102550
← PrevPage 14 of 62Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TypiClustAccuracy93.2—Unverified
2PT4ALAccuracy93.1—Unverified
3Learning lossAccuracy91.01—Unverified
4CoreGCNAccuracy90.7—Unverified
5Core-setAccuracy89.92—Unverified
6Random Baseline (Resnet18)Accuracy88.45—Unverified
7Random Baseline (VGG16)Accuracy85.09—Unverified