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 40 篇，第 1 / 1 页

1. ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
2. ICML 2023A Closer Look at Few-shot Classification Again
3. ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
4. ICML 2023Adaptive Compositional Continual Meta-Learning
5. ICML 2023Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
6. ICML 2023Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
7. ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
8. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
9. ICML 2023Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
10. ICML 2023Does Continual Learning Equally Forget All Parameters?
11. ICML 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizer
12. ICML 2023Efficient Training of Language Models using Few-Shot Learning
13. ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
14. ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
15. ICML 2023Few-Sample Feature Selection via Feature Manifold Learning
16. ICML 2023GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
17. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
18. ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
19. ICML 2023Learning the Dynamics of Sparsely Observed Interacting Systems
20. ICML 2023Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
21. ICML 2023Lifelong Language Pretraining with Distribution-Specialized Experts
22. ICML 2023Meta Optimal Transport
23. ICML 2023Meta-learning Parameterized Skills
24. ICML 2023Meta-Learning the Inductive Bias of Simple Neural Circuits
25. ICML 2023MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
26. ICML 2023MEWL: Few-shot multimodal word learning with referential uncertainty
27. ICML 2023Model-agnostic Measure of Generalization Difficulty
28. ICML 2023One-Shot Federated Conformal Prediction
29. ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
30. ICML 2023Online Prototype Alignment for Few-shot Policy Transfer
31. ICML 2023PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
32. ICML 2023Reward-Mixing MDPs with Few Latent Contexts are Learnable
33. ICML 2023SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
34. ICML 2023Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
35. ICML 2023SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
36. ICML 2023The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
37. ICML 2023Towards Controlled Data Augmentations for Active Learning
38. ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
39. ICML 2023Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
40. ICML 2023Variance Control for Distributional Reinforcement Learning

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。