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

39 papers, page 1 of 1

1. ICML 2026Active Curriculum Refinement for Reinforcement Learning
2. ICML 2026Active Learning with Low-Rank Structure for Data Selection
3. ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
4. ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
5. ICML 2026BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
6. ICML 2026Distributional Active Inference
7. ICML 2026Learning $U$-Statistics with Active Inference
8. ICML 2026MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
9. ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
10. ICML 2025Active Treatment Effect Estimation via Limited Samples
11. ICML 2025AutoAL: Automated Active Learning with Differentiable Query Strategy Search
12. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
13. ICML 2025Importance Sampling for Nonlinear Models
14. ICML 2025Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
15. ICML 2025On the Benefits of Active Data Collection in Operator Learning
16. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
17. ICML 2024Active Statistical Inference
18. ICML 2024Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
19. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
20. ICML 2024Diffusion Posterior Sampling is Computationally Intractable
21. ICML 2024Fast Co-Training under Weak Dependence via Stream-Based Active Learning
22. ICML 2024Faster Sampling via Stochastic Gradient Proximal Sampler
23. ICML 2024Path-Guided Particle-based Sampling
24. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
25. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
26. ICML 2024Uncertainty for Active Learning on Graphs
27. ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
28. ICML 2023Active Learning based Structural Inference
29. ICML 2023Active Policy Improvement from Multiple Black-box Oracles
30. ICML 2023Anchor Sampling for Federated Learning with Partial Client Participation
31. ICML 2023Gibbsian Polar Slice Sampling
32. ICML 2023LSDS++ : Dual Sampling for Accelerated k-means++
33. ICML 2023Margin-based sampling in high dimensions: When being active is less efficient than staying passive
34. ICML 2023NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
35. ICML 2023On Sampling with Approximate Transport Maps
36. ICML 2023SAAL: Sharpness-Aware Active Learning
37. ICML 2023Streaming Active Learning with Deep Neural Networks
38. ICML 2023Towards Controlled Data Augmentations for Active Learning
39. ICML 2023Training-Free Neural Active Learning with Initialization-Robustness Guarantees

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.