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 81 篇，第 2 / 2 页
- CVPR 2024One-Shot Open Affordance Learning with Foundation Models
- CVPR 2024One-step Diffusion with Distribution Matching Distillation
- CVPR 2024OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
- CVPR 2024Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
- CVPR 2024Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
- CVPR 2024Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
- CVPR 2024Prompt Learning via Meta-Regularization
- CVPR 2024PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
- CVPR 2024Referring Expression Counting
- CVPR 2024Rethinking Few-shot 3D Point Cloud Semantic Segmentation
- CVPR 2024Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
- CVPR 2024Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
- CVPR 2024SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
- CVPR 2024Simple Semantic-Aided Few-Shot Learning
- CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
- CVPR 2024SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
- CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
- CVPR 2024Towards Generalizing to Unseen Domains with Few Labels
- CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
- CVPR 2024Transductive Zero-Shot and Few-Shot CLIP
- CVPR 2024Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
- CVPR 2024Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
- CVPR 2024URHand: Universal Relightable Hands
- CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
- CVPR 2024Vlogger: Make Your Dream A Vlog
- CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
- CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
- CVPR 2024ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
- CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
- CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
- CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
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。