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

164 papers, page 1 of 4

1. CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
2. CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for
3. CVPR 2026ActiveGrasp Information-Guided Active Grasping with Calibrated Energy-based Model
4. CVPR 2026EventHub Data Factory for Generalizable Event-Based Stereo Networks without Active
5. CVPR 2026FailureAtlas Mapping the Failure Landscape of T2I Models via Active
6. CVPR 2026Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
7. CVPR 2026Paparazzo Active Mapping of Moving 3D Objects
8. CVPR 2026Portable Active Learning for Object Detection
9. CVPR 2026SparseOIT Improving Order-Independent Transparency 3DGS via Active Set Method
10. CVPR 2026Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
11. ICLR 2026Active Learning for Decision Trees with Provable Guarantees
12. ICLR 2026ActiveCQ: Active Estimation of Causal Quantities
13. ICLR 2026Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
14. ICLR 2026PEERING INTO THE UNKNOWN: ACTIVE VIEW SELECTION WITH NEURAL UNCERTAINTY MAPS FOR 3D RECONSTRUCTION
15. ICLR 2026PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning
16. ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
17. ICML 2026Active Curriculum Refinement for Reinforcement Learning
18. ICML 2026Active Learning with Low-Rank Structure for Data Selection
19. ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
20. ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
21. ICML 2026BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
22. ICML 2026Distributional Active Inference
23. ICML 2026Learning $U$-Statistics with Active Inference
24. ICML 2026MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
25. NeurIPS 2026Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries
26. NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
27. NeurIPS 2026Active Learning for Conditional Generative Compressed Sensing
28. NeurIPS 2026Beyond Langevin: Sampling Multimodal Densities using the Witten Laplacian on 1-forms
29. NeurIPS 2026Do Glimpse Policies See Like Humans? A Behavioral Audit Reveals Dissociated Viewing Priors in Classification-Trained Active Vision
30. NeurIPS 2026Fixed-Size Active Statistical Inference
31. NeurIPS 2026Forgetting to Improve: Principled Data Removal in Active Learning
32. NeurIPS 2026Gumbo: Gumbel Optimized High-Temperature Speculative Sampling
33. NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
34. NeurIPS 2026LLM Active Alignment: A Nash Equilibrium Perspective
35. NeurIPS 2026Online Active Testing: Adaptive Importance Sampling for Unbiased Risk Estimation in Data Streams
36. NeurIPS 2026Post-ADC Inference: Valid Inference After Active Data Collection
37. NeurIPS 2026Prediction-Powered Active Testing
38. NeurIPS 2026Safe Active Learning with Future Viability Guarantees in Time-Series Models
39. NeurIPS 2026Tactile MNIST: Benchmarking Active Tactile Perception
40. NeurIPS 2026Towards instance-dependent regret optimality in Episodic MDPs with Posterior Sampling
41. CVPR 2025Active Data Curation Effectively Distills Large-Scale Multimodal Models
42. CVPR 2025Active Hyperspectral Imaging Using an Event Camera
43. CVPR 2025EnliveningGS: Active Locomotion of 3DGS
44. CVPR 2025Learning Extremely High Density Crowds as Active Matters
45. CVPR 2025RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
46. CVPR 2025Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
47. CVPR 2025Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning
48. CVPR 2025Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
49. ICLR 2025Active Learning for Continual Learning: Keeping the Past Alive in the Present
50. ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting

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.