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

每年论文数

各会议论文数

按年份和会议统计

小样本学习论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202376564079251
202464383781220
202568363564203
202651385679224

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

全部小样本学习论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 259 篇，第 3 / 6 页

  1. NeurIPS 2025Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP
  2. NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
  3. NeurIPS 2025Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
  4. NeurIPS 2025The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
  5. NeurIPS 2025Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
  6. NeurIPS 2025Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
  7. NeurIPS 2025Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
  8. NeurIPS 2025Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
  9. NeurIPS 2025Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
  10. NeurIPS 2025UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
  11. NeurIPS 2025Universal Few-shot Spatial Control for Diffusion Models
  12. NeurIPS 2025UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
  13. NeurIPS 2025VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
  14. NeurIPS 2025Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
  15. NeurIPS 2025Zebra-Llama: Towards Extremely Efficient Hybrid Models
  16. NeurIPS 2025Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
  17. NeurIPS 2025Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
  18. NeurIPS 2025Zero-shot protein stability prediction by inverse folding models: a free energy interpretation
  19. NeurIPS 2025ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
  20. NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
  21. NeurIPS 2024A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
  22. NeurIPS 2024A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
  23. NeurIPS 2024A Simple yet Universal Framework for Depth Completion
  24. NeurIPS 2024A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
  25. NeurIPS 2024Active Classification with Few Queries under Misspecification
  26. NeurIPS 2024AED: Adaptable Error Detection for Few-shot Imitation Policy
  27. NeurIPS 2024An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
  28. NeurIPS 2024Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
  29. NeurIPS 2024AutoMix: Automatically Mixing Language Models
  30. NeurIPS 2024Boosting Vision-Language Models with Transduction
  31. NeurIPS 2024Bridge the Points: Graph-based Few-shot Segment Anything Semantically
  32. NeurIPS 2024CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
  33. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
  34. NeurIPS 2024Combining Observational Data and Language for Species Range Estimation
  35. NeurIPS 2024Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
  36. NeurIPS 2024D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
  37. NeurIPS 2024Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
  38. NeurIPS 2024DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
  39. NeurIPS 2024EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
  40. NeurIPS 2024Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
  41. NeurIPS 2024FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
  42. NeurIPS 2024FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
  43. NeurIPS 2024Few-Shot Adversarial Prompt Learning on Vision-Language Models
  44. NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
  45. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
  46. NeurIPS 2024Few-Shot Task Learning through Inverse Generative Modeling
  47. NeurIPS 2024FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
  48. NeurIPS 2024Generate Universal Adversarial Perturbations for Few-Shot Learning
  49. NeurIPS 2024Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation
  50. NeurIPS 2024Hybrid Mamba for Few-Shot Segmentation

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

「元学习与迁移」下的其他主题