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 301–350 of 3073 papers

TitleStatusHype
GeneDisco: A Benchmark for Experimental Design in Drug DiscoveryCode1
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experimentsCode1
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active LearningCode1
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation EffortsCode1
AISecKG: Knowledge Graph Dataset for Cybersecurity EducationCode1
DEUP: Direct Epistemic Uncertainty PredictionCode1
Active Bayesian Causal InferenceCode1
Gone Fishing: Neural Active Learning with Fisher EmbeddingsCode1
AL-GTD: Deep Active Learning for Gaze Target DetectionCode1
Graph Policy Network for Transferable Active Learning on GraphsCode1
Fast and robust Bayesian Inference using Gaussian Processes with GPryCode1
A Mathematical Analysis of Learning Loss for Active Learning in RegressionCode1
ALPBench: A Benchmark for Active Learning Pipelines on Tabular DataCode1
ICS: Total Freedom in Manual Text Classification Supported by Unobtrusive Machine LearningCode1
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular DesignCode1
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path PlanningCode1
Data-efficient Neural Text Compression with Interactive LearningCode0
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace ApplicationsCode0
Active Generation for Image ClassificationCode0
Curiosity Driven Exploration to Optimize Structure-Property Learning in MicroscopyCode0
Automated Progressive Red TeamingCode0
Active Fuzzing for Testing and Securing Cyber-Physical SystemsCode0
Active Learning for Graph EmbeddingCode0
A Bibliographic View on Constrained ClusteringCode0
Data augmentation on-the-fly and active learning in data stream classificationCode0
Crowd Counting With Partial Annotations in an ImageCode0
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning ApproachCode0
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local FilterCode0
Cross-context News Corpus for Protest Events related Knowledge Base ConstructionCode0
CrudeOilNews: An Annotated Crude Oil News Corpus for Event ExtractionCode0
Active Few-Shot Learning with FASLCode0
covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learningCode0
Cost-Sensitive Active Learning for Incomplete DataCode0
Cost-Sensitive Reference Pair Encoding for Multi-Label LearningCode0
Cost-Accuracy Aware Adaptive Labeling for Active LearningCode0
Active Learning for Entity Filtering in Microblog StreamsCode0
Cost-Effective Active Learning for Deep Image ClassificationCode0
Active Learning for Entity AlignmentCode0
Cooperative Inverse Reinforcement LearningCode0
Correlation Clustering with Adaptive Similarity QueriesCode0
Cost-Effective Active Learning for Melanoma SegmentationCode0
Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation spaceCode0
Controllable Textual Inversion for Personalized Text-to-Image GenerationCode0
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational modelsCode0
Continual egocentric object recognitionCode0
Conversational Disease Diagnosis via External Planner-Controlled Large Language ModelsCode0
Cost Effective Active SearchCode0
Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input SpaceCode0
Context Selection and Rewriting for Video-based Educational Question GenerationCode0
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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