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 1 of 7

1. CVPR 2026A Closer Look at Cross-Domain Few-Shot Object Detection Fine-Tuning Matters
2. CVPR 2026Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
3. CVPR 2026Attribution-Guided Model Rectification of Unreliable Neural Network Behaviors
4. CVPR 2026Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
5. CVPR 2026Bayesian Decomposition and Semantic Completion for Few-shot Semantic Segmentation
6. CVPR 2026Beyond Patches Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
7. CVPR 2026Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class
8. CVPR 2026Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
9. CVPR 2026Bridging the Modality Gap in Compositional Zero-Shot Learning via Sparse
10. CVPR 2026CLIPoint3D Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
11. CVPR 2026Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation
12. CVPR 2026Data-Centric Meta-Learning for Robust Few-Shot Generalization
13. CVPR 2026DDSF Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point
14. CVPR 2026Defect Cue-Preserved Structural Feature Refinement for Few-Shot Anomaly Detection
15. CVPR 2026Discover Segment and Select A Progressive Mechanism for Zero-shot Camouflaged
16. CVPR 2026EmoTaG Emotion-Aware Talking Head Synthesis on Gaussian Splatting with Few-Shot
17. CVPR 2026Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling
18. CVPR 2026Explaining CLIP Zero-shot Predictions Through Concepts
19. CVPR 2026FastRef Fast Prototype Refinement for Few-shot Industrial Anomaly Detection
20. CVPR 2026Feed-Forward One-Shot Animatable Textured Mesh Avatar Reconstruction
21. CVPR 2026Few-for-Many Personalized Federated Learning
22. CVPR 2026Few-shot Acoustic Synthesis with Multimodal Flow Matching
23. CVPR 2026Few-Shot Hybrid Incremental LearningContinually Learning under Data Scarcity and Task
24. CVPR 2026Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments
25. CVPR 2026FlexAvatar Learning Complete 3D Head Avatars with Partial Supervision
26. CVPR 2026FlowSteer Guiding Few-Step Image Synthesis with Authentic Trajectories
27. CVPR 2026Focus on Background Exploring SAMs Potential in Few-shot Medical Image
28. CVPR 2026From Few-way to Many-way Rethinking Few-shot Fine-grained Image Classification
29. CVPR 2026Graph Attention Prototypical Network for Robust Few-Shot Classification
30. CVPR 2026HyCal A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental
31. CVPR 2026Hyperbolic Defect Feature Synthesis for Few-Shot Defect Classification
32. CVPR 2026Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment
33. CVPR 2026InverFill One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
34. CVPR 2026Language Does Matter for Cross-Domain Few-Shot Visual Feature Enhancement
35. CVPR 2026LaS-Comp Zero-shot 3D Completion with Latent-Spatial Consistency
36. CVPR 2026Lite Any Stereo Efficient Zero-Shot Stereo Matching
37. CVPR 2026Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning
38. CVPR 2026MPL Match-guided Prototype Learning for Few-shot Action Recognition
39. CVPR 2026MUSE Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide
40. CVPR 2026MV3DIS Multi-View Mask Matching via 3D Guides for Zero-Shot 3D
41. CVPR 2026NAF Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
42. CVPR 2026Neural Mixture Density Processes
43. CVPR 2026Noise-Aware Few-Shot Learning through Bi-directional Multi-View Prompt Alignment
44. CVPR 2026OMG-Avatar One-shot Multi-LOD Gaussian Head Avatar
45. CVPR 2026One Patch to Caption Them All A Unified Zero-Shot Captioning
46. CVPR 2026One-Shot Flow Any-Time Frame A Bidirectional Warping Framework for Event-Based
47. CVPR 2026oslash Source Models Leak What They Shouldnt nrightarrow Unlearning Zero-Shot
48. CVPR 2026Phased DMD Few-step Distribution Matching Distillation via Score Matching within
49. CVPR 2026Pointing at Parts Training-Free Few-Shot Grounding in Multimodal LLMs
50. CVPR 2026PP-Brep Few-Shot B-rep Classification with Hybrid Graph Representation

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.