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Machine Learning
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Active Learning
323 directly classified papers
Papers per year
2006: 1
2007: 5
2008: 2
2009: 3
2010: 7
2011: 4
2012: 7
2013: 8
2014: 10
2015: 10
2016: 9
2017: 13
2018: 17
2019: 26
2020: 31
2021: 33
2022: 46
2023: 36
2024: 40
2025: 15
Papers
Active preference learning for ordering items in- and out-of-sample
NIPS 2024
Causal-Guided Active Learning for Debiasing Large Language Models
ACL 2024
Generalized Category Discovery with Large Language Models in the Loop
ACL 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
CVPR 2024
Interactive Deep Clustering via Value Mining
NIPS 2024
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NIPS 2023
Refined Mechanism Design for Approximately Structured Priors via Active Regression
NIPS 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
NIPS 2023
Investigating Multi-source Active Learning for Natural Language Inference
EACL 2023
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
EMNLP 2023
Active Learning-Based Species Range Estimation
NIPS 2023
Active Learning for Semantic Segmentation with Multi-class Label Query
NIPS 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity
CVPR 2023
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification
ACL 2023
Knowledge-Aware Federated Active Learning with Non-IID Data
ICCV 2023
An Active Learning Pipeline for NLU Error Detection in Conversational Agents
ACL 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
NIPS 2023
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
ACL 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
ACL 2023
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
ACL 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach
ACL 2023
Actively Supervised Clustering for Open Relation Extraction
ACL 2023
On the Limitations of Simulating Active Learning
ACL 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
ACL 2023
Box-Level Active Detection
CVPR 2023
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