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 38 篇，第 1 / 1 页

1. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
2. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
3. ICLR 2024BatchPrompt: Accomplish more with less
4. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
5. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
6. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
7. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
8. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
9. ICLR 2024Discovering modular solutions that generalize compositionally
10. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
11. ICLR 2024Effective Data Augmentation With Diffusion Models
12. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
13. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
14. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
15. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
16. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
17. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
18. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
19. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
20. ICLR 2024Information Retention via Learning Supplemental Features
21. ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
22. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
23. ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
24. ICLR 2024MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
25. ICLR 2024Neural Fine-Tuning Search for Few-Shot Learning
26. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
27. ICLR 2024One-shot Empirical Privacy Estimation for Federated Learning
28. ICLR 2024Overthinking the Truth: Understanding how Language Models Process False Demonstrations
29. ICLR 2024Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
30. ICLR 2024Personalize Segment Anything Model with One Shot
31. ICLR 2024Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
32. ICLR 2024Scalable Language Model with Generalized Continual Learning
33. ICLR 2024Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
34. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
35. ICLR 2024Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
36. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
37. ICLR 2024Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
38. ICLR 2024Zero-Shot Robustification of Zero-Shot Models

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。