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. ICLR 2026Active Learning for Decision Trees with Provable Guarantees
2. ICLR 2026ActiveCQ: Active Estimation of Causal Quantities
3. ICLR 2026Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
4. ICLR 2026PEERING INTO THE UNKNOWN: ACTIVE VIEW SELECTION WITH NEURAL UNCERTAINTY MAPS FOR 3D RECONSTRUCTION
5. ICLR 2026PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning
6. ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
7. ICLR 2025Active Learning for Continual Learning: Keeping the Past Alive in the Present
8. ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
9. ICLR 2025Efficient Active Imitation Learning with Random Network Distillation
10. ICLR 2025Near-optimal Active Regression of Single-Index Models
11. ICLR 2025Provably Accurate Shapley Value Estimation via Leverage Score Sampling
12. ICLR 2025SAVA: Scalable Learning-Agnostic Data Valuation
13. ICLR 2025Uncertainty Herding: One Active Learning Method for All Label Budgets
14. ICLR 2024Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
15. ICLR 2024IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
16. ICLR 2024Improved Active Learning via Dependent Leverage Score Sampling
17. ICLR 2024Neural Active Learning Beyond Bandits
18. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
19. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
20. ICLR 2023A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
21. ICLR 2023Active Image Indexing
22. ICLR 2023Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
23. ICLR 2023BALTO: fast tensor program optimization with diversity-based active learning
24. ICLR 2023Leveraging Importance Weights in Subset Selection
25. ICLR 2023MCAL: Minimum Cost Human-Machine Active Labeling
26. ICLR 2023Robust Active Distillation
27. ICLR 2023Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
28. ICLR 2023Scalable Subset Sampling with Neural Conditional Poisson Networks
29. ICLR 2023Selective Annotation Makes Language Models Better Few-Shot Learners

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.