Active Learning papers, 2023–2026

Key findings

• Active Learning fell from 58 papers in 2023 to 41 in 2026, so interest is cooling.
• NeurIPS publishes the most Active Learning work: 67 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with 3D Vision: papers tagged with both rose from 0 in 2023 to 6 in 2026.
• Among the 5 topics under Data-Centric AI, it ranks #3 by 2026 paper count; the fastest grower in the group, Synthetic Data Generation, is up 1.3x versus 0.7x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries
• ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
• ICLR 2026ActiveCQ: Active Estimation of Causal Quantities
• CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
• NeurIPS 2025Active Measurement: Efficient Estimation at Scale
• ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
• ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
• CVPR 2025Active Hyperspectral Imaging Using an Event Camera
• NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
• ICML 2024Active Statistical Inference
• ICLR 2024Improved Active Learning via Dependent Leverage Score Sampling
• CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
• NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
• ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
• ICLR 2023A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
• CVPR 2023Re-Thinking Federated Active Learning Based on Inter-Class Diversity
• NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
• ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
• ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
• CVPR 2026EventHub Data Factory for Generalizable Event-Based Stereo Networks without Active

All Active Learning papers

29 papers, page 1 of 1

1. NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
2. NeurIPS 2023Active Bipartite Ranking
3. NeurIPS 2023Active Learning-Based Species Range Estimation
4. NeurIPS 2023Active Negative Loss Functions for Learning with Noisy Labels
5. NeurIPS 2023Active Vision Reinforcement Learning under Limited Visual Observability
6. NeurIPS 2023Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
7. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
8. NeurIPS 2023Agnostic Multi-Group Active Learning
9. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
10. NeurIPS 2023Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
11. NeurIPS 2023Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
12. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
13. NeurIPS 2023Cross-modal Active Complementary Learning with Self-refining Correspondence
14. NeurIPS 2023DELTA: Diverse Client Sampling for Fasting Federated Learning
15. NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
16. NeurIPS 2023FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
17. NeurIPS 2023How Re-sampling Helps for Long-Tail Learning?
18. NeurIPS 2023How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
19. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
20. NeurIPS 2023Likelihood Ratio Confidence Sets for Sequential Decision Making
21. NeurIPS 2023Model-Free Active Exploration in Reinforcement Learning
22. NeurIPS 2023Model-free Posterior Sampling via Learning Rate Randomization
23. NeurIPS 2023Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
24. NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
25. NeurIPS 2023No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
26. NeurIPS 2023Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
27. NeurIPS 2023Reconciling Competing Sampling Strategies of Network Embedding
28. NeurIPS 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression
29. NeurIPS 2023Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure

FAQ

How many Active Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

165 in total: 58 in 2023, 35 in 2024, 31 in 2025, 41 in 2026.

How many Active Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 16 Active Learning papers, versus 9 the year before.

How many Active Learning papers are at ICLR 2026?

ICLR 2026 has 6 Active Learning papers, versus 7 the year before.

How many Active Learning papers are at ICML 2026?

ICML 2026 has 8 Active Learning papers, versus 7 the year before.

How many Active Learning papers are at CVPR 2026?

CVPR 2026 has 11 Active Learning papers, versus 8 the year before.

Which conference publishes the most Active Learning papers?

NeurIPS, with 67 papers from 2023 to 2026.