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 220 篇，第 2 / 5 页

  1. CVPR 2024One-Shot Open Affordance Learning with Foundation Models
  2. CVPR 2024One-step Diffusion with Distribution Matching Distillation
  3. CVPR 2024OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
  4. CVPR 2024Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
  5. CVPR 2024Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
  6. CVPR 2024Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  7. CVPR 2024Prompt Learning via Meta-Regularization
  8. CVPR 2024PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
  9. CVPR 2024Referring Expression Counting
  10. CVPR 2024Rethinking Few-shot 3D Point Cloud Semantic Segmentation
  11. CVPR 2024Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
  12. CVPR 2024Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
  13. CVPR 2024SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
  14. CVPR 2024Simple Semantic-Aided Few-Shot Learning
  15. CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
  16. CVPR 2024SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
  17. CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
  18. CVPR 2024Towards Generalizing to Unseen Domains with Few Labels
  19. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
  20. CVPR 2024Transductive Zero-Shot and Few-Shot CLIP
  21. CVPR 2024Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
  22. CVPR 2024Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
  23. CVPR 2024URHand: Universal Relightable Hands
  24. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
  25. CVPR 2024Vlogger: Make Your Dream A Vlog
  26. CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
  27. CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
  28. CVPR 2024ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
  29. CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
  30. CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
  31. CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
  32. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
  33. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
  34. ICLR 2024BatchPrompt: Accomplish more with less
  35. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
  36. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
  37. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
  38. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
  39. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
  40. ICLR 2024Discovering modular solutions that generalize compositionally
  41. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
  42. ICLR 2024Effective Data Augmentation With Diffusion Models
  43. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
  44. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
  45. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
  46. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
  47. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
  48. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
  49. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
  50. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models

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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