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 79 篇，第 1 / 2 页

1. CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
2. CVPR 2023A Meta-Learning Approach to Predicting Performance and Data Requirements
3. CVPR 2023A Strong Baseline for Generalized Few-Shot Semantic Segmentation
4. CVPR 2023Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
5. CVPR 2023AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection
6. CVPR 2023Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
7. CVPR 2023Bi-Level Meta-Learning for Few-Shot Domain Generalization
8. CVPR 2023BlendFields: Few-Shot Example-Driven Facial Modeling
9. CVPR 2023Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
10. CVPR 2023CF-Font: Content Fusion for Few-Shot Font Generation
11. CVPR 2023Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
12. CVPR 2023DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
13. CVPR 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
14. CVPR 2023Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
15. CVPR 2023Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
16. CVPR 2023Few-Shot Geometry-Aware Keypoint Localization
17. CVPR 2023Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment
18. CVPR 2023Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
19. CVPR 2023Few-Shot Referring Relationships in Videos
20. CVPR 2023Few-Shot Semantic Image Synthesis With Class Affinity Transfer
21. CVPR 2023Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models
22. CVPR 2023FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization
23. CVPR 2023From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models
24. CVPR 2023Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
25. CVPR 2023GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
26. CVPR 2023Glocal Energy-Based Learning for Few-Shot Open-Set Recognition
27. CVPR 2023Hard Sample Matters a Lot in Zero-Shot Quantization
28. CVPR 2023Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
29. CVPR 2023Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
30. CVPR 2023Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings
31. CVPR 2023I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
32. CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
33. CVPR 2023JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields
34. CVPR 2023Learning Attention As Disentangler for Compositional Zero-Shot Learning
35. CVPR 2023Learning Conditional Attributes for Compositional Zero-Shot Learning
36. CVPR 2023Learning From Noisy Labels With Decoupled Meta Label Purifier
37. CVPR 2023Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
38. CVPR 2023Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
39. CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
40. CVPR 2023Meta Compositional Referring Expression Segmentation
41. CVPR 2023Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
42. CVPR 2023Meta-Learning With a Geometry-Adaptive Preconditioner
43. CVPR 2023Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
44. CVPR 2023MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
45. CVPR 2023MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
46. CVPR 2023Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
47. CVPR 2023NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
48. CVPR 2023Noisy Correspondence Learning With Meta Similarity Correction
49. CVPR 2023One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field
50. CVPR 2023One-Shot Model for Mixed-Precision Quantization

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。