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 168 篇，第 2 / 4 页

51. ICLR 2025Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
52. ICLR 2025Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
53. ICLR 2025LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently
54. ICLR 2025Making Text Embedders Few-Shot Learners
55. ICLR 2025Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
56. ICLR 2025Meta-Dynamical State Space Models for Integrative Neural Data Analysis
57. ICLR 2025Metalic: Meta-Learning In-Context with Protein Language Models
58. ICLR 2025Multi-Perspective Data Augmentation for Few-shot Object Detection
59. ICLR 2025Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
60. ICLR 2025One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
61. ICLR 2025PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
62. ICLR 2025Predicate Hierarchies Improve Few-Shot State Classification
63. ICLR 2025Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework
64. ICLR 2025Protein Language Model Fitness is a Matter of Preference
65. ICLR 2025Prototype antithesis for biological few-shot class-incremental learning
66. ICLR 2025Safety Alignment Should be Made More Than Just a Few Tokens Deep
67. ICLR 2025STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
68. ICLR 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
69. ICLR 2025UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
70. ICLR 2025Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
71. ICLR 2025Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation
72. ICLR 2025Why In-Context Learning Models are Good Few-Shot Learners?
73. ICLR 2025Zero-Shot Natural Language Explanations
74. ICLR 2025ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
75. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
76. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
77. ICLR 2024BatchPrompt: Accomplish more with less
78. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
79. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
80. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
81. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
82. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
83. ICLR 2024Discovering modular solutions that generalize compositionally
84. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
85. ICLR 2024Effective Data Augmentation With Diffusion Models
86. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
87. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
88. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
89. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
90. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
91. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
92. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
93. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
94. ICLR 2024Information Retention via Learning Supplemental Features
95. ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
96. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
97. ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
98. ICLR 2024MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
99. ICLR 2024Neural Fine-Tuning Search for Few-Shot Learning
100. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models

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。