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 6 of 7

251. CVPR 2023Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
252. CVPR 2023Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
253. CVPR 2023Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings
254. CVPR 2023I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
255. CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
256. CVPR 2023JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields
257. CVPR 2023Learning Attention As Disentangler for Compositional Zero-Shot Learning
258. CVPR 2023Learning Conditional Attributes for Compositional Zero-Shot Learning
259. CVPR 2023Learning From Noisy Labels With Decoupled Meta Label Purifier
260. CVPR 2023Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
261. CVPR 2023Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
262. CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
263. CVPR 2023Meta Compositional Referring Expression Segmentation
264. CVPR 2023Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
265. CVPR 2023Meta-Learning With a Geometry-Adaptive Preconditioner
266. CVPR 2023Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
267. CVPR 2023MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
268. CVPR 2023MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
269. CVPR 2023Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
270. CVPR 2023NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
271. CVPR 2023Noisy Correspondence Learning With Meta Similarity Correction
272. CVPR 2023One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field
273. CVPR 2023One-Shot Model for Mixed-Precision Quantization
274. CVPR 2023One-to-Few Label Assignment for End-to-End Dense Detection
275. CVPR 2023Open-Set Likelihood Maximization for Few-Shot Learning
276. CVPR 2023OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering
277. CVPR 2023PartDistillation: Learning Parts From Instance Segmentation
278. CVPR 2023PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
279. CVPR 2023ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
280. CVPR 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
281. CVPR 2023Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
282. CVPR 2023Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
283. CVPR 2023Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
284. CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
285. CVPR 2023Semantic Prompt for Few-Shot Image Recognition
286. CVPR 2023Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
287. CVPR 2023SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders
288. CVPR 2023Stitchable Neural Networks
289. CVPR 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
290. CVPR 2023StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields
291. CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
292. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
293. CVPR 2023ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
294. CVPR 2023Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
295. CVPR 2023Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
296. CVPR 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
297. CVPR 2023ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation
298. CVPR 2023Zero-Shot Dual-Lens Super-Resolution
299. CVPR 2023Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
300. CVPR 2023Zero-Shot Model Diagnosis

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.