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 259 篇，第 4 / 6 页

  1. NeurIPS 2024Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
  2. NeurIPS 2024Kermut: Composite kernel regression for protein variant effects
  3. NeurIPS 2024Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
  4. NeurIPS 2024Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
  5. NeurIPS 2024Limits of Transformer Language Models on Learning to Compose Algorithms
  6. NeurIPS 2024Many-shot Jailbreaking
  7. NeurIPS 2024Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
  8. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
  9. NeurIPS 2024Meta-Learning Universal Priors Using Non-Injective Change of Variables
  10. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
  11. NeurIPS 2024Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning
  12. NeurIPS 2024Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
  13. NeurIPS 2024One-shot Federated Learning via Synthetic Distiller-Distillate Communication
  14. NeurIPS 2024Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
  15. NeurIPS 2024Pretrained Optimization Model for Zero-Shot Black Box Optimization
  16. NeurIPS 2024QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
  17. NeurIPS 2024Rapid Plug-in Defenders
  18. NeurIPS 2024Revisiting Ensembling in One-Shot Federated Learning
  19. NeurIPS 2024Robust Fine-tuning of Zero-shot Models via Variance Reduction
  20. NeurIPS 2024Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
  21. NeurIPS 2024SpeAr: A Spectral Approach for Zero-Shot Node Classification
  22. NeurIPS 2024Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
  23. NeurIPS 2024The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models
  24. NeurIPS 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
  25. NeurIPS 2024Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
  26. NeurIPS 2024TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
  27. NeurIPS 2024Transformers are Minimax Optimal Nonparametric In-Context Learners
  28. NeurIPS 2024UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
  29. NeurIPS 2024Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
  30. NeurIPS 2024XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
  31. NeurIPS 2024Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
  32. NeurIPS 2024Zero-Shot Tokenizer Transfer
  33. NeurIPS 2024Zero-Shot Transfer of Neural ODEs
  34. NeurIPS 2023A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
  35. NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
  36. NeurIPS 2023Alignment with human representations supports robust few-shot learning
  37. NeurIPS 2023An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
  38. NeurIPS 2023Context Shift Reduction for Offline Meta-Reinforcement Learning
  39. NeurIPS 2023Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
  40. NeurIPS 2023Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
  41. NeurIPS 2023CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
  42. NeurIPS 2023DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
  43. NeurIPS 2023Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
  44. NeurIPS 2023DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
  45. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
  46. NeurIPS 2023EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
  47. NeurIPS 2023Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  48. NeurIPS 2023Explore to Generalize in Zero-Shot RL
  49. NeurIPS 2023Exploring Diverse In-Context Configurations for Image Captioning
  50. NeurIPS 2023ExPT: Synthetic Pretraining for Few-Shot Experimental Design

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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