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 78 篇，第 2 / 2 页
- CVPR 2026ProjFlow Projection Sampling with Flow Matching for Zero-Shot Exact Spatial
- CVPR 2026PromptStereo Zero-Shot Stereo Matching via Structure and Motion Prompts
- CVPR 2026Quantized Residuals to Continuous Prompts for Few-Shot Class Incremental Learning
- CVPR 2026Reading Your Actions Learning Generalizable Action Representations via Pre-training AEMG
- CVPR 2026Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning
- CVPR 2026Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP
- CVPR 2026RefTon Reference person shot assist virtual Try-on
- CVPR 2026Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
- CVPR 2026Retrieve and Segment Are a Few Examples Enough to Bridge
- CVPR 2026Robustness Under Data Scarcity Few-Shot Continual Adversarial Training for Evolving
- CVPR 2026SD-FSMIS Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
- CVPR 2026Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning
- CVPR 2026SkeletonContext Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition
- CVPR 2026STiTch Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot
- CVPR 2026SubspaceAD Training-Free Few-Shot Anomaly Detection via Subspace Modeling
- CVPR 2026SWIFT Sliding Window Reconstruction for Few-Shot Training-Free Generated Video Attribution
- CVPR 2026TAPE Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot
- CVPR 2026Towards Multimodal Domain Generalization with Few Labels
- CVPR 2026Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
- CVPR 2026Uni-DAD Unified Distillation and Adaptation of Diffusion Models for Few-step
- CVPR 2026Universal-to-Specific Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide
- CVPR 2026Unlocking Pre-trained Weights Parameter Inheritance for Zero-Shot Initialization
- CVPR 2026VGGT-360 Geometry-Consistent Zero-Shot Panoramic Depth Estimation
- CVPR 2026What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching
- CVPR 2026X-WIN Building Chest Radiograph World Model via Predictive Sensing
- CVPR 2026Your Dissimilarities Define You Complementary Learning Exploiting Class Diversities
- CVPR 2026Zero-shot Detection of AI-Generated Image via RAW-RGB Alignment
- CVPR 2026Zero-Shot Reconstruction of Animatable 3D Avatars with Cloth Dynamics from
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。