Few-Shot Learning papers, 2023–2026

Key findings

• Few-Shot Learning fell from 251 papers in 2023 to 224 in 2026, so interest is cooling.
• CVPR publishes the most Few-Shot Learning work: 303 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 24 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #4 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 0.9x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Few-Shot Learning papers

251 papers, page 2 of 6

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
80. ICLR 2023$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
81. ICLR 2023AANG : Automating Auxiliary Learning
82. ICLR 2023Analogy-Forming Transformers for Few-Shot 3D Parsing
83. ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
84. ICLR 2023Bidirectional Language Models Are Also Few-shot Learners
85. ICLR 2023Composing Ensembles of Pre-trained Models via Iterative Consensus
86. ICLR 2023Context-enriched molecule representations improve few-shot drug discovery
87. ICLR 2023Contrastive Meta-Learning for Partially Observable Few-Shot Learning
88. ICLR 2023Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
89. ICLR 2023Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity
90. ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
91. ICLR 2023Distributional Meta-Gradient Reinforcement Learning
92. ICLR 2023Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
93. ICLR 2023Few-shot Backdoor Attacks via Neural Tangent Kernels
94. ICLR 2023Few-Shot Domain Adaptation For End-to-End Communication
95. ICLR 2023FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
96. ICLR 2023Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
97. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
98. ICLR 2023Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
99. ICLR 2023Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
100. ICLR 2023Improving Out-of-distribution Generalization with Indirection Representations

FAQ

How many Few-Shot Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

898 in total: 251 in 2023, 220 in 2024, 203 in 2025, 224 in 2026.

How many Few-Shot Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 51 Few-Shot Learning papers, versus 68 the year before.

How many Few-Shot Learning papers are at ICLR 2026?

ICLR 2026 has 38 Few-Shot Learning papers, versus 36 the year before.

How many Few-Shot Learning papers are at ICML 2026?

ICML 2026 has 56 Few-Shot Learning papers, versus 35 the year before.

How many Few-Shot Learning papers are at CVPR 2026?

CVPR 2026 has 79 Few-Shot Learning papers, versus 64 the year before.

Which conference publishes the most Few-Shot Learning papers?

CVPR, with 303 papers from 2023 to 2026.