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

共 897 篇,第 11 / 18 页

  1. CVPR 2024Vlogger: Make Your Dream A Vlog
  2. CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
  3. CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
  4. CVPR 2024ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
  5. CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
  6. CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
  7. CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
  8. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
  9. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
  10. ICLR 2024BatchPrompt: Accomplish more with less
  11. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
  12. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
  13. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
  14. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
  15. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
  16. ICLR 2024Discovering modular solutions that generalize compositionally
  17. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
  18. ICLR 2024Effective Data Augmentation With Diffusion Models
  19. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
  20. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
  21. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
  22. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
  23. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
  24. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
  25. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
  26. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
  27. ICLR 2024Information Retention via Learning Supplemental Features
  28. ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
  29. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
  30. ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
  31. ICLR 2024MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
  32. ICLR 2024Neural Fine-Tuning Search for Few-Shot Learning
  33. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
  34. ICLR 2024One-shot Empirical Privacy Estimation for Federated Learning
  35. ICLR 2024Overthinking the Truth: Understanding how Language Models Process False Demonstrations
  36. ICLR 2024Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
  37. ICLR 2024Personalize Segment Anything Model with One Shot
  38. ICLR 2024Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
  39. ICLR 2024Scalable Language Model with Generalized Continual Learning
  40. ICLR 2024Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
  41. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
  42. ICLR 2024Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
  43. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
  44. ICLR 2024Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
  45. ICLR 2024Zero-Shot Robustification of Zero-Shot Models
  46. ICML 2024Accelerating Convergence in Bayesian Few-Shot Classification
  47. ICML 2024Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
  48. ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
  49. ICML 2024Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
  50. ICML 2024Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection

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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