小样本学习论文趋势 2023–2026

主要结论

• 小样本学习论文从 2023 年的 251 篇降到 2026 年的 224 篇，热度在回落。
• CVPR 是发小样本学习论文最多的会议，2023–2026 年共 303 篇，占四个会议总量的 34%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 24 篇。
• 在「元学习与迁移」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的基础模型适配是 3.8 倍，小样本学习是 0.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部小样本学习论文

共 168 篇，第 1 / 4 页

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

常见问题

2023–2026 年四大会议一共有多少篇小样本学习论文？

共 898 篇，按年份分别是 2023 年 251 篇、2024 年 220 篇、2025 年 203 篇、2026 年 224 篇。

NeurIPS 2026 有多少篇小样本学习论文？

NeurIPS 2026 有 51 篇小样本学习论文，上一届是 68 篇。

ICLR 2026 有多少篇小样本学习论文？

ICLR 2026 有 38 篇小样本学习论文，上一届是 36 篇。

ICML 2026 有多少篇小样本学习论文？

ICML 2026 有 56 篇小样本学习论文，上一届是 35 篇。

CVPR 2026 有多少篇小样本学习论文？

CVPR 2026 有 79 篇小样本学习论文，上一届是 64 篇。

哪个会议的小样本学习论文最多？

CVPR，2023–2026 年共 303 篇。