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 3 of 4

101. NeurIPS 2024GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
102. NeurIPS 2024HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods
103. NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
104. NeurIPS 2024Robust Offline Active Learning on Graphs
105. NeurIPS 2024SEL-BALD: Deep Bayesian Active Learning with Selective Labels
106. NeurIPS 2024Universal Rates for Active Learning
107. CVPR 2023A Light Weight Model for Active Speaker Detection
108. CVPR 2023Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
109. CVPR 2023AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers
110. CVPR 2023Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection
111. CVPR 2023Box-Level Active Detection
112. CVPR 2023Re-Thinking Federated Active Learning Based on Inter-Class Diversity
113. ICLR 2023A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
114. ICLR 2023Active Image Indexing
115. ICLR 2023Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
116. ICLR 2023BALTO: fast tensor program optimization with diversity-based active learning
117. ICLR 2023Leveraging Importance Weights in Subset Selection
118. ICLR 2023MCAL: Minimum Cost Human-Machine Active Labeling
119. ICLR 2023Robust Active Distillation
120. ICLR 2023Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
121. ICLR 2023Scalable Subset Sampling with Neural Conditional Poisson Networks
122. ICLR 2023Selective Annotation Makes Language Models Better Few-Shot Learners
123. ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
124. ICML 2023Active Learning based Structural Inference
125. ICML 2023Active Policy Improvement from Multiple Black-box Oracles
126. ICML 2023Anchor Sampling for Federated Learning with Partial Client Participation
127. ICML 2023Gibbsian Polar Slice Sampling
128. ICML 2023LSDS++ : Dual Sampling for Accelerated k-means++
129. ICML 2023Margin-based sampling in high dimensions: When being active is less efficient than staying passive
130. ICML 2023NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
131. ICML 2023On Sampling with Approximate Transport Maps
132. ICML 2023SAAL: Sharpness-Aware Active Learning
133. ICML 2023Streaming Active Learning with Deep Neural Networks
134. ICML 2023Towards Controlled Data Augmentations for Active Learning
135. ICML 2023Training-Free Neural Active Learning with Initialization-Robustness Guarantees
136. NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
137. NeurIPS 2023Active Bipartite Ranking
138. NeurIPS 2023Active Learning-Based Species Range Estimation
139. NeurIPS 2023Active Negative Loss Functions for Learning with Noisy Labels
140. NeurIPS 2023Active Vision Reinforcement Learning under Limited Visual Observability
141. NeurIPS 2023Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
142. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
143. NeurIPS 2023Agnostic Multi-Group Active Learning
144. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
145. NeurIPS 2023Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
146. NeurIPS 2023Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
147. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
148. NeurIPS 2023Cross-modal Active Complementary Learning with Self-refining Correspondence
149. NeurIPS 2023DELTA: Diverse Client Sampling for Fasting Federated Learning
150. NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

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.