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 203 篇，第 4 / 5 页

  1. NeurIPS 2025FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
  2. NeurIPS 2025Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
  3. NeurIPS 2025GLVD: Guided Learned Vertex Descent
  4. NeurIPS 2025Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
  5. NeurIPS 2025Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
  6. NeurIPS 2025Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation
  7. NeurIPS 2025InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
  8. NeurIPS 2025L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias
  9. NeurIPS 2025Learning to Learn with Contrastive Meta-Objective
  10. NeurIPS 2025Learning to Rank for In-Context Example Retrieval
  11. NeurIPS 2025MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
  12. NeurIPS 2025Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
  13. NeurIPS 2025MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
  14. NeurIPS 2025MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention
  15. NeurIPS 2025Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
  16. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
  17. NeurIPS 2025Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
  18. NeurIPS 2025NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data
  19. NeurIPS 2025Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
  20. NeurIPS 2025One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
  21. NeurIPS 2025Optimization Inspired Few-Shot Adaptation for Large Language Models
  22. NeurIPS 2025Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
  23. NeurIPS 2025PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting
  24. NeurIPS 2025Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
  25. NeurIPS 2025Preference-driven Knowledge Distillation for Few-shot Node Classification
  26. NeurIPS 2025Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation
  27. NeurIPS 2025ReDi: Rectified Discrete Flow
  28. NeurIPS 2025ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset
  29. NeurIPS 2025Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward
  30. NeurIPS 2025Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
  31. NeurIPS 2025SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
  32. NeurIPS 2025SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
  33. NeurIPS 2025Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
  34. NeurIPS 2025Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
  35. NeurIPS 2025Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP
  36. NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
  37. NeurIPS 2025Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
  38. NeurIPS 2025The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
  39. NeurIPS 2025Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
  40. NeurIPS 2025Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
  41. NeurIPS 2025Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
  42. NeurIPS 2025Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
  43. NeurIPS 2025Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
  44. NeurIPS 2025UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
  45. NeurIPS 2025Universal Few-shot Spatial Control for Diffusion Models
  46. NeurIPS 2025UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
  47. NeurIPS 2025VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
  48. NeurIPS 2025Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
  49. NeurIPS 2025Zebra-Llama: Towards Extremely Efficient Hybrid Models
  50. NeurIPS 2025Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts

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。

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