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 897 篇，第 10 / 18 页

  1. CVPR 2024Few-shot Learner Parameterization by Diffusion Time-steps
  2. CVPR 2024Few-Shot Object Detection with Foundation Models
  3. CVPR 2024Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
  4. CVPR 2024FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
  5. CVPR 2024Frozen Feature Augmentation for Few-Shot Image Classification
  6. CVPR 2024FSC: Few-point Shape Completion
  7. CVPR 2024Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
  8. CVPR 2024Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses
  9. CVPR 2024HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
  10. CVPR 2024HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
  11. CVPR 2024ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  12. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
  13. CVPR 2024Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
  14. CVPR 2024Instance-based Max-margin for Practical Few-shot Recognition
  15. CVPR 2024Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
  16. CVPR 2024LAMP: Learn A Motion Pattern for Few-Shot Video Generation
  17. CVPR 2024Large Language Models are Good Prompt Learners for Low-Shot Image Classification
  18. CVPR 2024Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
  19. CVPR 2024Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
  20. CVPR 2024LLaFS: When Large Language Models Meet Few-Shot Segmentation
  21. CVPR 2024LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
  22. CVPR 2024Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
  23. CVPR 2024Multiplane Prior Guided Few-Shot Aerial Scene Rendering
  24. CVPR 2024No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
  25. CVPR 2024OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
  26. CVPR 2024One-Prompt to Segment All Medical Images
  27. CVPR 2024One-Shot Open Affordance Learning with Foundation Models
  28. CVPR 2024One-step Diffusion with Distribution Matching Distillation
  29. CVPR 2024OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
  30. CVPR 2024Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
  31. CVPR 2024Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
  32. CVPR 2024Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  33. CVPR 2024Prompt Learning via Meta-Regularization
  34. CVPR 2024PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
  35. CVPR 2024Referring Expression Counting
  36. CVPR 2024Rethinking Few-shot 3D Point Cloud Semantic Segmentation
  37. CVPR 2024Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
  38. CVPR 2024Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
  39. CVPR 2024SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
  40. CVPR 2024Simple Semantic-Aided Few-Shot Learning
  41. CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
  42. CVPR 2024SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
  43. CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
  44. CVPR 2024Towards Generalizing to Unseen Domains with Few Labels
  45. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
  46. CVPR 2024Transductive Zero-Shot and Few-Shot CLIP
  47. CVPR 2024Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
  48. CVPR 2024Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
  49. CVPR 2024URHand: Universal Relightable Hands
  50. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach

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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