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 16 / 18 页

  1. ICLR 2023Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
  2. ICLR 2023Meta Temporal Point Processes
  3. ICLR 2023Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
  4. ICLR 2023Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
  5. ICLR 2023Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
  6. ICLR 2023Neural DAG Scheduling via One-Shot Priority Sampling
  7. ICLR 2023On the Soft-Subnetwork for Few-Shot Class Incremental Learning
  8. ICLR 2023OTOv2: Automatic, Generic, User-Friendly
  9. ICLR 2023PEER: A Collaborative Language Model
  10. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
  11. ICLR 2023Promptagator: Few-shot Dense Retrieval From 8 Examples
  12. ICLR 2023Prototypical Calibration for Few-shot Learning of Language Models
  13. ICLR 2023QAID: Question Answering Inspired Few-shot Intent Detection
  14. ICLR 2023Relative representations enable zero-shot latent space communication
  15. ICLR 2023Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
  16. ICLR 2023Selective Annotation Makes Language Models Better Few-Shot Learners
  17. ICLR 2023Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
  18. ICLR 2023Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
  19. ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
  20. ICLR 2023Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
  21. ICLR 2023Task Ambiguity in Humans and Language Models
  22. ICLR 2023TempCLR: Temporal Alignment Representation with Contrastive Learning
  23. ICLR 2023Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
  24. ICLR 2023Towards Addressing Label Skews in One-Shot Federated Learning
  25. ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
  26. ICLR 2023Transfer NAS with Meta-learned Bayesian Surrogates
  27. ICLR 2023Understanding Train-Validation Split in Meta-Learning with Neural Networks
  28. ICLR 2023Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
  29. ICLR 2023Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
  30. ICLR 2023Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
  31. ICLR 2023ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
  32. ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
  33. ICML 2023A Closer Look at Few-shot Classification Again
  34. ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
  35. ICML 2023Adaptive Compositional Continual Meta-Learning
  36. ICML 2023Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
  37. ICML 2023Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
  38. ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
  39. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
  40. ICML 2023Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
  41. ICML 2023Does Continual Learning Equally Forget All Parameters?
  42. ICML 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizer
  43. ICML 2023Efficient Training of Language Models using Few-Shot Learning
  44. ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
  45. ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
  46. ICML 2023Few-Sample Feature Selection via Feature Manifold Learning
  47. ICML 2023GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
  48. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
  49. ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
  50. ICML 2023Learning the Dynamics of Sparsely Observed Interacting Systems

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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