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 18 / 18 页

  1. NeurIPS 2023Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
  2. NeurIPS 2023How Re-sampling Helps for Long-Tail Learning?
  3. NeurIPS 2023Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
  4. NeurIPS 2023Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
  5. NeurIPS 2023Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
  6. NeurIPS 2023Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
  7. NeurIPS 2023Improving neural network representations using human similarity judgments
  8. NeurIPS 2023Interactive Visual Reasoning under Uncertainty
  9. NeurIPS 2023Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
  10. NeurIPS 2023Learning DAGs from Data with Few Root Causes
  11. NeurIPS 2023Learning Functional Transduction
  12. NeurIPS 2023Learning Large-scale Neural Fields via Context Pruned Meta-Learning
  13. NeurIPS 2023Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
  14. NeurIPS 2023LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  15. NeurIPS 2023Low-shot Object Learning with Mutual Exclusivity Bias
  16. NeurIPS 2023Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
  17. NeurIPS 2023Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
  18. NeurIPS 2023Meta-in-context learning in large language models
  19. NeurIPS 2023Meta-Learning with Neural Bandit Scheduler
  20. NeurIPS 2023MGDD: A Meta Generator for Fast Dataset Distillation
  21. NeurIPS 2023Mitigating the Effect of Incidental Correlations on Part-based Learning
  22. NeurIPS 2023Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
  23. NeurIPS 2023One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
  24. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization
  25. NeurIPS 2023Optimistic Meta-Gradients
  26. NeurIPS 2023PAPR: Proximity Attention Point Rendering
  27. NeurIPS 2023Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
  28. NeurIPS 2023ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
  29. NeurIPS 2023Prototypical Variational Autoencoder for 3D Few-shot Object Detection
  30. NeurIPS 2023Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
  31. NeurIPS 2023Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
  32. NeurIPS 2023Regularity as Intrinsic Reward for Free Play
  33. NeurIPS 2023Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
  34. NeurIPS 2023S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
  35. NeurIPS 2023Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
  36. NeurIPS 2023SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
  37. NeurIPS 2023TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration
  38. NeurIPS 2023The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
  39. NeurIPS 2023Three Towers: Flexible Contrastive Learning with Pretrained Image Models
  40. NeurIPS 2023Train Hard, Fight Easy: Robust Meta Reinforcement Learning
  41. NeurIPS 2023Tuning Multi-mode Token-level Prompt Alignment across Modalities
  42. NeurIPS 2023Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
  43. NeurIPS 2023Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
  44. NeurIPS 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
  45. NeurIPS 2023User-Level Differential Privacy With Few Examples Per User
  46. NeurIPS 2023Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
  47. NeurIPS 2023Zero-Shot Anomaly Detection via Batch Normalization

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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