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 5 / 18 页

  1. NeurIPS 2026One-Shot Private Confidence Regions via Resampling
  2. NeurIPS 2026ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration
  3. NeurIPS 2026PRIM: Meta-Learned Bayesian Root Cause Analysis
  4. NeurIPS 2026RAPTOR: Ridge-Adaptive Logistic Probes
  5. NeurIPS 2026Roll2Depth: Zero-Shot Metric Depth Estimation Exploiting Camera's Rolling Shutter Effect
  6. NeurIPS 2026ScreenShot: A Foundation Model for Few-Shot Combination Drug Screening
  7. NeurIPS 2026SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation
  8. NeurIPS 2026Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
  9. NeurIPS 2026Semantic-Statistical Prior Banks for Federated Low-Shot Learning under Non-IID Clients
  10. NeurIPS 2026Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
  11. NeurIPS 2026Stabilizing Few-Shot Object Detection with Language-Conditioned Probabilistic Prototypes
  12. NeurIPS 2026Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning
  13. NeurIPS 2026The Laplacian Keyboard: Beyond the Linear Span
  14. NeurIPS 2026Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
  15. NeurIPS 2026Transcoda: End-to-End Zero-Shot Optical Music Recognition via Data-Centric Synthetic Training
  16. NeurIPS 2026Ultra Fast PDE Solving via Physics Guided Few-step Diffusion
  17. NeurIPS 2026Umbilic Multinomial Logistic Regression
  18. NeurIPS 2026Unlocking Compositional Generalization in Continual Few-Shot Learning
  19. NeurIPS 2026VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning
  20. NeurIPS 2026What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents
  21. NeurIPS 2026When Does Subspace Direction Matter for LoRA? Regime Analysis of the Magnitude Principle in Few-Shot Adaptation
  22. NeurIPS 2026Zero-Shot Coordination among LLM Agents
  23. NeurIPS 2026Zero-Shot Instruction Following in RL via Structured LTL Representations
  24. CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
  25. CVPR 2025A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
  26. CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
  27. CVPR 2025COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
  28. CVPR 2025Conformal Prediction for Zero-Shot Models
  29. CVPR 2025ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
  30. CVPR 2025Cross-View Completion Models are Zero-shot Correspondence Estimators
  31. CVPR 2025Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
  32. CVPR 2025DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
  33. CVPR 2025Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
  34. CVPR 2025Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
  35. CVPR 2025EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction
  36. CVPR 2025Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
  37. CVPR 2025EZSR: Event-based Zero-Shot Recognition
  38. CVPR 2025FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
  39. CVPR 2025Few-shot Implicit Function Generation via Equivariance
  40. CVPR 2025Few-shot Personalized Scanpath Prediction
  41. CVPR 2025Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
  42. CVPR 2025FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
  43. CVPR 2025FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
  44. CVPR 2025FoundationStereo: Zero-Shot Stereo Matching
  45. CVPR 2025FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
  46. CVPR 2025FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
  47. CVPR 2025Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
  48. CVPR 2025GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
  49. CVPR 2025HumanMM: Global Human Motion Recovery from Multi-shot Videos
  50. CVPR 2025Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud 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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