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 81 篇，第 1 / 2 页

  1. CVPR 20243DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
  2. CVPR 2024A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
  3. CVPR 2024Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
  4. CVPR 2024Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
  5. CVPR 2024Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
  6. CVPR 2024AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
  7. CVPR 2024APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
  8. CVPR 2024Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
  9. CVPR 2024CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
  10. CVPR 2024Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
  11. CVPR 2024Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
  12. CVPR 2024DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
  13. CVPR 2024Deformable One-shot Face Stylization via DINO Semantic Guidance
  14. CVPR 2024DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning
  15. CVPR 2024Dense Vision Transformer Compression with Few Samples
  16. CVPR 2024Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
  17. CVPR 2024DiaLoc: An Iterative Approach to Embodied Dialog Localization
  18. CVPR 2024DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
  19. CVPR 2024Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
  20. CVPR 2024DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
  21. CVPR 2024Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
  22. CVPR 2024EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars
  23. CVPR 2024Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
  24. CVPR 2024Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
  25. CVPR 2024Few-shot Learner Parameterization by Diffusion Time-steps
  26. CVPR 2024Few-Shot Object Detection with Foundation Models
  27. CVPR 2024Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
  28. CVPR 2024FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
  29. CVPR 2024Frozen Feature Augmentation for Few-Shot Image Classification
  30. CVPR 2024FSC: Few-point Shape Completion
  31. CVPR 2024Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
  32. CVPR 2024Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses
  33. CVPR 2024HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
  34. CVPR 2024HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
  35. CVPR 2024ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  36. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
  37. CVPR 2024Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
  38. CVPR 2024Instance-based Max-margin for Practical Few-shot Recognition
  39. CVPR 2024Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
  40. CVPR 2024LAMP: Learn A Motion Pattern for Few-Shot Video Generation
  41. CVPR 2024Large Language Models are Good Prompt Learners for Low-Shot Image Classification
  42. CVPR 2024Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
  43. CVPR 2024Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
  44. CVPR 2024LLaFS: When Large Language Models Meet Few-Shot Segmentation
  45. CVPR 2024LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
  46. CVPR 2024Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
  47. CVPR 2024Multiplane Prior Guided Few-Shot Aerial Scene Rendering
  48. CVPR 2024No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
  49. CVPR 2024OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
  50. CVPR 2024One-Prompt to Segment All Medical Images

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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