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 64 篇，第 1 / 2 页

  1. CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
  2. CVPR 2025A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
  3. CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
  4. CVPR 2025COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
  5. CVPR 2025Conformal Prediction for Zero-Shot Models
  6. CVPR 2025ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
  7. CVPR 2025Cross-View Completion Models are Zero-shot Correspondence Estimators
  8. CVPR 2025Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
  9. CVPR 2025DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
  10. CVPR 2025Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
  11. CVPR 2025Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
  12. CVPR 2025EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction
  13. CVPR 2025Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
  14. CVPR 2025EZSR: Event-based Zero-Shot Recognition
  15. CVPR 2025FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
  16. CVPR 2025Few-shot Implicit Function Generation via Equivariance
  17. CVPR 2025Few-shot Personalized Scanpath Prediction
  18. CVPR 2025Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
  19. CVPR 2025FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
  20. CVPR 2025FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
  21. CVPR 2025FoundationStereo: Zero-Shot Stereo Matching
  22. CVPR 2025FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
  23. CVPR 2025FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
  24. CVPR 2025Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
  25. CVPR 2025GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
  26. CVPR 2025HumanMM: Global Human Motion Recovery from Multi-shot Videos
  27. CVPR 2025Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation
  28. CVPR 2025Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
  29. CVPR 2025ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
  30. CVPR 2025InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
  31. CVPR 2025Logits DeConfusion with CLIP for Few-Shot Learning
  32. CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
  33. CVPR 2025MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
  34. CVPR 2025MVSAnywhere: Zero-Shot Multi-View Stereo
  35. CVPR 2025One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
  36. CVPR 2025OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
  37. CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
  38. CVPR 2025Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
  39. CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
  40. CVPR 2025Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
  41. CVPR 2025SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
  42. CVPR 2025SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
  43. CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
  44. CVPR 2025Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
  45. CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
  46. CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
  47. CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
  48. CVPR 2025Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
  49. CVPR 2025Temporal Alignment-Free Video Matching for Few-shot Action Recognition
  50. CVPR 2025Text Augmented Correlation Transformer For Few-shot Classification & Segmentation

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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