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 2 of 4

51. ICLR 2025Efficient Active Imitation Learning with Random Network Distillation
52. ICLR 2025Near-optimal Active Regression of Single-Index Models
53. ICLR 2025Provably Accurate Shapley Value Estimation via Leverage Score Sampling
54. ICLR 2025SAVA: Scalable Learning-Agnostic Data Valuation
55. ICLR 2025Uncertainty Herding: One Active Learning Method for All Label Budgets
56. ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
57. ICML 2025Active Treatment Effect Estimation via Limited Samples
58. ICML 2025AutoAL: Automated Active Learning with Differentiable Query Strategy Search
59. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
60. ICML 2025Importance Sampling for Nonlinear Models
61. ICML 2025Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
62. ICML 2025On the Benefits of Active Data Collection in Operator Learning
63. NeurIPS 2025Active Measurement: Efficient Estimation at Scale
64. NeurIPS 2025Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
65. NeurIPS 2025Agnostic Active Learning Is Always Better Than Passive Learning
66. NeurIPS 2025Balanced Active Inference
67. NeurIPS 2025Formal Models of Active Learning from Contrastive Examples
68. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
69. NeurIPS 2025Robust Sampling for Active Statistical Inference
70. NeurIPS 2025Scaling Up Active Testing to Large Language Models
71. NeurIPS 2025TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics
72. CVPR 2024Active Generalized Category Discovery
73. CVPR 2024Active Prompt Learning in Vision Language Models
74. CVPR 2024ActiveDC: Distribution Calibration for Active Finetuning
75. CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
76. CVPR 2024Neural Visibility Field for Uncertainty-Driven Active Mapping
77. ICLR 2024Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
78. ICLR 2024IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
79. ICLR 2024Improved Active Learning via Dependent Leverage Score Sampling
80. ICLR 2024Neural Active Learning Beyond Bandits
81. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
82. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
83. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
84. ICML 2024Active Statistical Inference
85. ICML 2024Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
86. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
87. ICML 2024Diffusion Posterior Sampling is Computationally Intractable
88. ICML 2024Fast Co-Training under Weak Dependence via Stream-Based Active Learning
89. ICML 2024Faster Sampling via Stochastic Gradient Proximal Sampler
90. ICML 2024Path-Guided Particle-based Sampling
91. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
92. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
93. ICML 2024Uncertainty for Active Learning on Graphs
94. NeurIPS 2024Active Classification with Few Queries under Misspecification
95. NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
96. NeurIPS 2024Active Set Ordering
97. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
98. NeurIPS 2024Boundary Matters: A Bi-Level Active Finetuning Method
99. NeurIPS 2024Contextual Active Model Selection
100. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach

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.