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

67 papers, page 1 of 2

1. NeurIPS 2026Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries
2. NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
3. NeurIPS 2026Active Learning for Conditional Generative Compressed Sensing
4. NeurIPS 2026Beyond Langevin: Sampling Multimodal Densities using the Witten Laplacian on 1-forms
5. NeurIPS 2026Do Glimpse Policies See Like Humans? A Behavioral Audit Reveals Dissociated Viewing Priors in Classification-Trained Active Vision
6. NeurIPS 2026Fixed-Size Active Statistical Inference
7. NeurIPS 2026Forgetting to Improve: Principled Data Removal in Active Learning
8. NeurIPS 2026Gumbo: Gumbel Optimized High-Temperature Speculative Sampling
9. NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
10. NeurIPS 2026LLM Active Alignment: A Nash Equilibrium Perspective
11. NeurIPS 2026Online Active Testing: Adaptive Importance Sampling for Unbiased Risk Estimation in Data Streams
12. NeurIPS 2026Post-ADC Inference: Valid Inference After Active Data Collection
13. NeurIPS 2026Prediction-Powered Active Testing
14. NeurIPS 2026Safe Active Learning with Future Viability Guarantees in Time-Series Models
15. NeurIPS 2026Tactile MNIST: Benchmarking Active Tactile Perception
16. NeurIPS 2026Towards instance-dependent regret optimality in Episodic MDPs with Posterior Sampling
17. NeurIPS 2025Active Measurement: Efficient Estimation at Scale
18. NeurIPS 2025Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
19. NeurIPS 2025Agnostic Active Learning Is Always Better Than Passive Learning
20. NeurIPS 2025Balanced Active Inference
21. NeurIPS 2025Formal Models of Active Learning from Contrastive Examples
22. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
23. NeurIPS 2025Robust Sampling for Active Statistical Inference
24. NeurIPS 2025Scaling Up Active Testing to Large Language Models
25. NeurIPS 2025TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics
26. NeurIPS 2024Active Classification with Few Queries under Misspecification
27. NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
28. NeurIPS 2024Active Set Ordering
29. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
30. NeurIPS 2024Boundary Matters: A Bi-Level Active Finetuning Method
31. NeurIPS 2024Contextual Active Model Selection
32. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
33. NeurIPS 2024GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
34. NeurIPS 2024HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods
35. NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
36. NeurIPS 2024Robust Offline Active Learning on Graphs
37. NeurIPS 2024SEL-BALD: Deep Bayesian Active Learning with Selective Labels
38. NeurIPS 2024Universal Rates for Active Learning
39. NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
40. NeurIPS 2023Active Bipartite Ranking
41. NeurIPS 2023Active Learning-Based Species Range Estimation
42. NeurIPS 2023Active Negative Loss Functions for Learning with Noisy Labels
43. NeurIPS 2023Active Vision Reinforcement Learning under Limited Visual Observability
44. NeurIPS 2023Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
45. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
46. NeurIPS 2023Agnostic Multi-Group Active Learning
47. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
48. NeurIPS 2023Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
49. NeurIPS 2023Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
50. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions

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.