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 302 篇，第 6 / 7 页

  1. CVPR 2023Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
  2. CVPR 2023Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
  3. CVPR 2023Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings
  4. CVPR 2023I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
  5. CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
  6. CVPR 2023JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields
  7. CVPR 2023Learning Attention As Disentangler for Compositional Zero-Shot Learning
  8. CVPR 2023Learning Conditional Attributes for Compositional Zero-Shot Learning
  9. CVPR 2023Learning From Noisy Labels With Decoupled Meta Label Purifier
  10. CVPR 2023Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
  11. CVPR 2023Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
  12. CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
  13. CVPR 2023Meta Compositional Referring Expression Segmentation
  14. CVPR 2023Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
  15. CVPR 2023Meta-Learning With a Geometry-Adaptive Preconditioner
  16. CVPR 2023Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
  17. CVPR 2023MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
  18. CVPR 2023MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
  19. CVPR 2023Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
  20. CVPR 2023NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
  21. CVPR 2023Noisy Correspondence Learning With Meta Similarity Correction
  22. CVPR 2023One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field
  23. CVPR 2023One-Shot Model for Mixed-Precision Quantization
  24. CVPR 2023One-to-Few Label Assignment for End-to-End Dense Detection
  25. CVPR 2023Open-Set Likelihood Maximization for Few-Shot Learning
  26. CVPR 2023OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering
  27. CVPR 2023PartDistillation: Learning Parts From Instance Segmentation
  28. CVPR 2023PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
  29. CVPR 2023ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
  30. CVPR 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
  31. CVPR 2023Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
  32. CVPR 2023Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
  33. CVPR 2023Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
  34. CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
  35. CVPR 2023Semantic Prompt for Few-Shot Image Recognition
  36. CVPR 2023Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
  37. CVPR 2023SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders
  38. CVPR 2023Stitchable Neural Networks
  39. CVPR 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
  40. CVPR 2023StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields
  41. CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
  42. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
  43. CVPR 2023ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
  44. CVPR 2023Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
  45. CVPR 2023Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
  46. CVPR 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
  47. CVPR 2023ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation
  48. CVPR 2023Zero-Shot Dual-Lens Super-Resolution
  49. CVPR 2023Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
  50. CVPR 2023Zero-Shot Model Diagnosis

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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