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Active Learning
1885 directly classified papers
Papers per year
2001: 1
2002: 1
2004: 2
2005: 4
2006: 8
2007: 12
2008: 8
2009: 11
2010: 20
2011: 26
2012: 38
2013: 50
2014: 46
2015: 39
2016: 45
2017: 76
2018: 102
2019: 160
2020: 152
2021: 232
2022: 215
2023: 252
2024: 222
2025: 119
2026: 44
Papers
CLAIM: curriculum learning policy for influence maximization in unknown social networks
UAI 2021
Possibilistic preference elicitation by minimax regret
UAI 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
CORL 2021
Optimal Algorithms for Range Searching over Multi-Armed Bandits
IJCAI 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
ICML 2021
A Hybrid Bandit Framework for Diversified Recommendation
AAAI 2021
Multiple Instance Active Learning for Object Detection
CVPR 2021
Active multi-fidelity Bayesian online changepoint detection
UAI 2021
Towards robust episodic meta-learning
UAI 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
NIPS 2021
Fast active learning for pure exploration in reinforcement learning
ICML 2021
Active Feature Acquisition with Generative Surrogate Models
ICML 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
CORL 2021
Confidence-Budget Matching for Sequential Budgeted Learning
ICML 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
NIPS 2021
Learning Reward Functions from Scale Feedback
CORL 2021
Dueling Bandits with Team Comparisons
NIPS 2021
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
ACL 2021
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
ACL 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
NIPS 2021
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
NIPS 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
NIPS 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
AAAI 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
NIPS 2021
Parallel Constraint Acquisition
AAAI 2021
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