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 76 篇，第 1 / 2 页

  1. NeurIPS 2023A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
  2. NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
  3. NeurIPS 2023Alignment with human representations supports robust few-shot learning
  4. NeurIPS 2023An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
  5. NeurIPS 2023Context Shift Reduction for Offline Meta-Reinforcement Learning
  6. NeurIPS 2023Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
  7. NeurIPS 2023Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
  8. NeurIPS 2023CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
  9. NeurIPS 2023DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
  10. NeurIPS 2023Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
  11. NeurIPS 2023DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
  12. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
  13. NeurIPS 2023EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
  14. NeurIPS 2023Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  15. NeurIPS 2023Explore to Generalize in Zero-Shot RL
  16. NeurIPS 2023Exploring Diverse In-Context Configurations for Image Captioning
  17. NeurIPS 2023ExPT: Synthetic Pretraining for Few-Shot Experimental Design
  18. NeurIPS 2023Extensible Prompts for Language Models on Zero-shot Language Style Customization
  19. NeurIPS 2023Fairness-guided Few-shot Prompting for Large Language Models
  20. NeurIPS 2023FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
  21. NeurIPS 2023FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
  22. NeurIPS 2023Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
  23. NeurIPS 2023Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
  24. NeurIPS 2023Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
  25. NeurIPS 2023Focus Your Attention when Few-Shot Classification
  26. NeurIPS 2023Generalizable One-shot 3D Neural Head Avatar
  27. NeurIPS 2023Geodesic Multi-Modal Mixup for Robust Fine-Tuning
  28. NeurIPS 2023GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  29. NeurIPS 2023GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
  30. NeurIPS 2023Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
  31. NeurIPS 2023How Re-sampling Helps for Long-Tail Learning?
  32. NeurIPS 2023Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
  33. NeurIPS 2023Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
  34. NeurIPS 2023Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
  35. NeurIPS 2023Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
  36. NeurIPS 2023Improving neural network representations using human similarity judgments
  37. NeurIPS 2023Interactive Visual Reasoning under Uncertainty
  38. NeurIPS 2023Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
  39. NeurIPS 2023Learning DAGs from Data with Few Root Causes
  40. NeurIPS 2023Learning Functional Transduction
  41. NeurIPS 2023Learning Large-scale Neural Fields via Context Pruned Meta-Learning
  42. NeurIPS 2023Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
  43. NeurIPS 2023LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  44. NeurIPS 2023Low-shot Object Learning with Mutual Exclusivity Bias
  45. NeurIPS 2023Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
  46. NeurIPS 2023Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
  47. NeurIPS 2023Meta-in-context learning in large language models
  48. NeurIPS 2023Meta-Learning with Neural Bandit Scheduler
  49. NeurIPS 2023MGDD: A Meta Generator for Fast Dataset Distillation
  50. NeurIPS 2023Mitigating the Effect of Incidental Correlations on Part-based Learning

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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