小样本学习论文趋势 2023–2026

主要结论

• 小样本学习论文从 2023 年的 251 篇降到 2026 年的 224 篇，热度在回落。
• CVPR 是发小样本学习论文最多的会议，2023–2026 年共 303 篇，占四个会议总量的 34%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 24 篇。
• 在「元学习与迁移」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的基础模型适配是 3.8 倍，小样本学习是 0.9 倍。

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

• NeurIPS 2026BAPM: Boundary-Aware Prompt Mining for Training-Free Few-Shot Medical Image Segmentation
• ICML 2026Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot Classification
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026A Closer Look at Cross-Domain Few-Shot Object Detection Fine-Tuning Matters
• NeurIPS 2025A Few Moments Please: Scalable Graphon Learning via Moment Matching
• ICML 2025FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
• ICLR 2025Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
• CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
• NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
• ICML 2024Accelerating Convergence in Bayesian Few-Shot Classification
• ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
• CVPR 2024Deformable One-shot Face Stylization via DINO Semantic Guidance
• NeurIPS 2023Alignment with human representations supports robust few-shot learning
• ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
• ICLR 2023Bidirectional Language Models Are Also Few-shot Learners
• CVPR 2023A Meta-Learning Approach to Predicting Performance and Data Requirements
• NeurIPS 2026Beyond Normal References: Discriminative Few-Shot Anomaly Detection
• ICML 2026BiCrossNet with Decoupled Dual Generators: A Parameter‑Efficient and Generalizable Few‑Shot Custom Gesture Recognition Framework
• ICLR 2026Dual Distillation for Few-Shot Anomaly Detection
• CVPR 2026Beyond Patches Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation

全部小样本学习论文

共 79 篇，第 2 / 2 页

51. CVPR 2023One-to-Few Label Assignment for End-to-End Dense Detection
52. CVPR 2023Open-Set Likelihood Maximization for Few-Shot Learning
53. CVPR 2023OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering
54. CVPR 2023PartDistillation: Learning Parts From Instance Segmentation
55. CVPR 2023PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
56. CVPR 2023ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
57. CVPR 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
58. CVPR 2023Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
59. CVPR 2023Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
60. CVPR 2023Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
61. CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
62. CVPR 2023Semantic Prompt for Few-Shot Image Recognition
63. CVPR 2023Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
64. CVPR 2023SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders
65. CVPR 2023Stitchable Neural Networks
66. CVPR 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
67. CVPR 2023StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields
68. CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
69. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
70. CVPR 2023ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
71. CVPR 2023Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
72. CVPR 2023Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
73. CVPR 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
74. CVPR 2023ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation
75. CVPR 2023Zero-Shot Dual-Lens Super-Resolution
76. CVPR 2023Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
77. CVPR 2023Zero-Shot Model Diagnosis
78. CVPR 2023Zero-Shot Object Counting
79. CVPR 2023Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters

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。