← Learning Types
Machine Learning › Learning Types ›

Active Learning

1885 directly classified papers

Papers per year

Papers

A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation IJCAI 2025
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback AAAI 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation EMNLP 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents EMNLP 2025
The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint) IJCAI 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams CVPR 2025
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness IJCAI 2025
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features ICCV 2025
Active Data Curation Effectively Distills Large-Scale Multimodal Models CVPR 2025
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Seer: Enabling Future-Aware Online Caching in Networked Systems NSDI 2024
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets NIPS 2024
Computerized Adaptive Testing via Collaborative Ranking NIPS 2024
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments NIPS 2024
Initializing Services in Interactive ML Systems for Diverse Users NIPS 2024
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data AISTATS 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Active preference learning for ordering items in- and out-of-sample NIPS 2024