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

64 papers, page 1 of 2

1. CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
2. CVPR 2025A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
3. CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
4. CVPR 2025COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
5. CVPR 2025Conformal Prediction for Zero-Shot Models
6. CVPR 2025ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
7. CVPR 2025Cross-View Completion Models are Zero-shot Correspondence Estimators
8. CVPR 2025Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
9. CVPR 2025DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
10. CVPR 2025Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
11. CVPR 2025Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
12. CVPR 2025EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction
13. CVPR 2025Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
14. CVPR 2025EZSR: Event-based Zero-Shot Recognition
15. CVPR 2025FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
16. CVPR 2025Few-shot Implicit Function Generation via Equivariance
17. CVPR 2025Few-shot Personalized Scanpath Prediction
18. CVPR 2025Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
19. CVPR 2025FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
20. CVPR 2025FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
21. CVPR 2025FoundationStereo: Zero-Shot Stereo Matching
22. CVPR 2025FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
23. CVPR 2025FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
24. CVPR 2025Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
25. CVPR 2025GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
26. CVPR 2025HumanMM: Global Human Motion Recovery from Multi-shot Videos
27. CVPR 2025Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation
28. CVPR 2025Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
29. CVPR 2025ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
30. CVPR 2025InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
31. CVPR 2025Logits DeConfusion with CLIP for Few-Shot Learning
32. CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
33. CVPR 2025MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
34. CVPR 2025MVSAnywhere: Zero-Shot Multi-View Stereo
35. CVPR 2025One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
36. CVPR 2025OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
37. CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
38. CVPR 2025Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
39. CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
40. CVPR 2025Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
41. CVPR 2025SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
42. CVPR 2025SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
43. CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
44. CVPR 2025Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
45. CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
46. CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
47. CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
48. CVPR 2025Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
49. CVPR 2025Temporal Alignment-Free Video Matching for Few-shot Action Recognition
50. CVPR 2025Text Augmented Correlation Transformer For Few-shot Classification & Segmentation

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.