Active Learning papers, 2023–2026
Sampling strategies
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 165 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 29 | 10 | 13 | 6 | 58 |
| 2024 | 13 | 6 | 11 | 5 | 35 |
| 2025 | 9 | 7 | 7 | 8 | 31 |
| 2026 | 16 | 6 | 8 | 11 | 41 |
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
- CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
- CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for
- CVPR 2026ActiveGrasp Information-Guided Active Grasping with Calibrated Energy-based Model
- CVPR 2026EventHub Data Factory for Generalizable Event-Based Stereo Networks without Active
- CVPR 2026FailureAtlas Mapping the Failure Landscape of T2I Models via Active
- CVPR 2026Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
- CVPR 2026Paparazzo Active Mapping of Moving 3D Objects
- CVPR 2026Portable Active Learning for Object Detection
- CVPR 2026SparseOIT Improving Order-Independent Transparency 3DGS via Active Set Method
- CVPR 2026Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
- CVPR 2025Active Data Curation Effectively Distills Large-Scale Multimodal Models
- CVPR 2025Active Hyperspectral Imaging Using an Event Camera
- CVPR 2025EnliveningGS: Active Locomotion of 3DGS
- CVPR 2025Learning Extremely High Density Crowds as Active Matters
- CVPR 2025RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
- CVPR 2025Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
- CVPR 2025Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning
- CVPR 2025Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
- CVPR 2024Active Generalized Category Discovery
- CVPR 2024Active Prompt Learning in Vision Language Models
- CVPR 2024ActiveDC: Distribution Calibration for Active Finetuning
- CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
- CVPR 2024Neural Visibility Field for Uncertainty-Driven Active Mapping
- CVPR 2023A Light Weight Model for Active Speaker Detection
- CVPR 2023Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
- CVPR 2023AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers
- CVPR 2023Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection
- CVPR 2023Box-Level Active Detection
- CVPR 2023Re-Thinking Federated Active Learning Based on Inter-Class Diversity
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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.