小样本学习论文趋势 2023–2026
元学习与小样本
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 898 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 76 | 56 | 40 | 79 | 251 |
| 2024 | 64 | 38 | 37 | 81 | 220 |
| 2025 | 68 | 36 | 35 | 64 | 203 |
| 2026 | 51 | 38 | 56 | 79 | 224 |
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 68 篇，第 2 / 2 页
- NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
- NeurIPS 2025Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
- NeurIPS 2025The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
- NeurIPS 2025Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
- NeurIPS 2025Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
- NeurIPS 2025Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
- NeurIPS 2025Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
- NeurIPS 2025Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
- NeurIPS 2025UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
- NeurIPS 2025Universal Few-shot Spatial Control for Diffusion Models
- NeurIPS 2025UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
- NeurIPS 2025VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
- NeurIPS 2025Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
- NeurIPS 2025Zebra-Llama: Towards Extremely Efficient Hybrid Models
- NeurIPS 2025Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
- NeurIPS 2025Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
- NeurIPS 2025Zero-shot protein stability prediction by inverse folding models: a free energy interpretation
- NeurIPS 2025ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查小样本学习在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "few-shot-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。