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

168 papers, page 1 of 4

1. ICLR 2026A One-shot Framework for Directed Evolution of Antibodies
2. ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
3. ICLR 2026Boomerang Distillation Enables Zero-Shot Model Size Interpolation
4. ICLR 2026Compositional Generalization through Gradient Search in Nonparametric Latent Space
5. ICLR 2026Consistency-Driven Calibration and Matching for Few-Shot Class Incremental Learning
6. ICLR 2026Dual Distillation for Few-Shot Anomaly Detection
7. ICLR 2026DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning
8. ICLR 2026EdgeCape: Edge Weight Prediction For Category-Agnostic Pose Estimation
9. ICLR 2026Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance
10. ICLR 2026Evaluating Data Influence in Meta Learning
11. ICLR 2026Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification
12. ICLR 2026Exploring Cross-Modal Flows for Few-Shot Learning
13. ICLR 2026FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation
14. ICLR 2026Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
15. ICLR 2026FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
16. ICLR 2026FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users
17. ICLR 2026GNN-as-Judge: Unleashing the Power of LLMs for Graph Few-shot Semi-supervised Learning with GNN Feedback
18. ICLR 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models
19. ICLR 2026Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
20. ICLR 2026Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
21. ICLR 2026Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion
22. ICLR 2026Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
23. ICLR 2026Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
24. ICLR 2026OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
25. ICLR 2026One-Shot Exemplars for Class Grounding in Self-Supervised Learning
26. ICLR 2026pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
27. ICLR 2026Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning
28. ICLR 2026Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
29. ICLR 2026REAP the Experts: Why Pruning Prevails for One-Shot MoE compression
30. ICLR 2026Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts
31. ICLR 2026SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
32. ICLR 2026Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
33. ICLR 2026Structure-Aware Graph Hypernetworks for Neural Program Synthesis
34. ICLR 2026Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments
35. ICLR 2026The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
36. ICLR 2026The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
37. ICLR 2026Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure
38. ICLR 2026Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label Classification
39. ICLR 2025Aligning Language Models with Demonstrated Feedback
40. ICLR 2025Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
41. ICLR 2025CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
42. ICLR 2025Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
43. ICLR 2025Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning
44. ICLR 2025Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
45. ICLR 2025Emergence of meta-stable clustering in mean-field transformer models
46. ICLR 2025Federated Few-Shot Class-Incremental Learning
47. ICLR 2025FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine
48. ICLR 2025From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
49. ICLR 2025Intermediate Layer Classifiers for OOD generalization
50. ICLR 2025Large (Vision) Language Models are Unsupervised In-Context Learners

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.