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 901–950 of 3073 papers

TitleStatusHype
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic SegmentationCode1
Self-Correcting Bayesian Optimization through Bayesian Active Learning—0
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning—0
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning—0
Prediction-Oriented Bayesian Active LearningCode1
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling—0
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next stepsCode0
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies—0
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification—0
Controllable Textual Inversion for Personalized Text-to-Image GenerationCode0
OpenAL: Evaluation and Interpretation of Active Learning StrategiesCode0
Deep Active Alignment of Knowledge Graph Entities and SchemataCode0
Towards Active Learning for Action Spotting in Association Football Videos—0
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction—0
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction—0
High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks—0
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experimentsCode1
Incorporating Unlabelled Data into Bayesian Neural Networks—0
Creating Custom Event Data Without Dictionaries: A Bag-of-TricksCode1
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation—0
AISecKG: Knowledge Graph Dataset for Cybersecurity EducationCode1
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costsCode0
Fairness-Aware Data Valuation for Supervised Learning—0
MuRAL: Multi-Scale Region-based Active Learning for Object Detection—0
Adaptive Superpixel for Active Learning in Semantic SegmentationCode1
Automated wildlife image classification: An active learning tool for ecological applicationsCode0
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning—0
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need—0
Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions—0
Deep Kernel Methods Learn Better: From Cards to Process Optimization—0
Box-Level Active DetectionCode1
Re-thinking Federated Active Learning based on Inter-class DiversityCode1
Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains—0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images—0
Agave crop segmentation and maturity classification with deep learning data-centric strategies using very high-resolution satellite imagery—0
A general-purpose AI assistant embedded in an open-source radiology information system—0
Active Learning-based Model Predictive Coverage Control—0
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary SystemsCode0
Stochastic Submodular Maximization via Polynomial Estimators—0
LRDB: LSTM Raw data DNA Base-caller based on long-short term models in an active learning environment—0
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency—0
Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry—0
Statistical Hardware Design With Multi-model Active Learning—0
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active LearningCode1
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection—0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images—0
Embodied Active Learning of Relational State Abstractions for Bilevel Planning—0
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles—0
Disambiguation of Company names via Deep Recurrent NetworksCode0
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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