Few-Shot Learning papers, 2023–2026

Key findings

• Few-Shot Learning fell from 251 papers in 2023 to 224 in 2026, so interest is cooling.
• CVPR publishes the most Few-Shot Learning work: 303 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 24 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #4 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 0.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026BAPM: Boundary-Aware Prompt Mining for Training-Free Few-Shot Medical Image Segmentation
• ICML 2026Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot Classification
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026A Closer Look at Cross-Domain Few-Shot Object Detection Fine-Tuning Matters
• NeurIPS 2025A Few Moments Please: Scalable Graphon Learning via Moment Matching
• ICML 2025FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
• ICLR 2025Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
• CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
• NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
• ICML 2024Accelerating Convergence in Bayesian Few-Shot Classification
• ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
• CVPR 2024Deformable One-shot Face Stylization via DINO Semantic Guidance
• NeurIPS 2023Alignment with human representations supports robust few-shot learning
• ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
• ICLR 2023Bidirectional Language Models Are Also Few-shot Learners
• CVPR 2023A Meta-Learning Approach to Predicting Performance and Data Requirements
• NeurIPS 2026Beyond Normal References: Discriminative Few-Shot Anomaly Detection
• ICML 2026BiCrossNet with Decoupled Dual Generators: A Parameter‑Efficient and Generalizable Few‑Shot Custom Gesture Recognition Framework
• ICLR 2026Dual Distillation for Few-Shot Anomaly Detection
• CVPR 2026Beyond Patches Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation

All Few-Shot Learning papers

302 papers, page 5 of 7

201. CVPR 2024Referring Expression Counting
202. CVPR 2024Rethinking Few-shot 3D Point Cloud Semantic Segmentation
203. CVPR 2024Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
204. CVPR 2024Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
205. CVPR 2024SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
206. CVPR 2024Simple Semantic-Aided Few-Shot Learning
207. CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
208. CVPR 2024SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
209. CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
210. CVPR 2024Towards Generalizing to Unseen Domains with Few Labels
211. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
212. CVPR 2024Transductive Zero-Shot and Few-Shot CLIP
213. CVPR 2024Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
214. CVPR 2024Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
215. CVPR 2024URHand: Universal Relightable Hands
216. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
217. CVPR 2024Vlogger: Make Your Dream A Vlog
218. CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
219. CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
220. CVPR 2024ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
221. CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
222. CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
223. CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
224. CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
225. CVPR 2023A Meta-Learning Approach to Predicting Performance and Data Requirements
226. CVPR 2023A Strong Baseline for Generalized Few-Shot Semantic Segmentation
227. CVPR 2023Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
228. CVPR 2023AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection
229. CVPR 2023Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
230. CVPR 2023Bi-Level Meta-Learning for Few-Shot Domain Generalization
231. CVPR 2023BlendFields: Few-Shot Example-Driven Facial Modeling
232. CVPR 2023Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
233. CVPR 2023CF-Font: Content Fusion for Few-Shot Font Generation
234. CVPR 2023Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
235. CVPR 2023DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
236. CVPR 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
237. CVPR 2023Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
238. CVPR 2023Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
239. CVPR 2023Few-Shot Geometry-Aware Keypoint Localization
240. CVPR 2023Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment
241. CVPR 2023Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
242. CVPR 2023Few-Shot Referring Relationships in Videos
243. CVPR 2023Few-Shot Semantic Image Synthesis With Class Affinity Transfer
244. CVPR 2023Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models
245. CVPR 2023FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization
246. CVPR 2023From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models
247. CVPR 2023Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
248. CVPR 2023GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
249. CVPR 2023Glocal Energy-Based Learning for Few-Shot Open-Set Recognition
250. CVPR 2023Hard Sample Matters a Lot in Zero-Shot Quantization

FAQ

How many Few-Shot Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

898 in total: 251 in 2023, 220 in 2024, 203 in 2025, 224 in 2026.

How many Few-Shot Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 51 Few-Shot Learning papers, versus 68 the year before.

How many Few-Shot Learning papers are at ICLR 2026?

ICLR 2026 has 38 Few-Shot Learning papers, versus 36 the year before.

How many Few-Shot Learning papers are at ICML 2026?

ICML 2026 has 56 Few-Shot Learning papers, versus 35 the year before.

How many Few-Shot Learning papers are at CVPR 2026?

CVPR 2026 has 79 Few-Shot Learning papers, versus 64 the year before.

Which conference publishes the most Few-Shot Learning papers?

CVPR, with 303 papers from 2023 to 2026.