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

220 papers, page 2 of 5

51. CVPR 2024One-Shot Open Affordance Learning with Foundation Models
52. CVPR 2024One-step Diffusion with Distribution Matching Distillation
53. CVPR 2024OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
54. CVPR 2024Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
55. CVPR 2024Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
56. CVPR 2024Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
57. CVPR 2024Prompt Learning via Meta-Regularization
58. CVPR 2024PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
59. CVPR 2024Referring Expression Counting
60. CVPR 2024Rethinking Few-shot 3D Point Cloud Semantic Segmentation
61. CVPR 2024Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
62. CVPR 2024Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
63. CVPR 2024SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
64. CVPR 2024Simple Semantic-Aided Few-Shot Learning
65. CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
66. CVPR 2024SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
67. CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
68. CVPR 2024Towards Generalizing to Unseen Domains with Few Labels
69. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
70. CVPR 2024Transductive Zero-Shot and Few-Shot CLIP
71. CVPR 2024Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
72. CVPR 2024Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
73. CVPR 2024URHand: Universal Relightable Hands
74. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
75. CVPR 2024Vlogger: Make Your Dream A Vlog
76. CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
77. CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
78. CVPR 2024ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
79. CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
80. CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
81. CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
82. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
83. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
84. ICLR 2024BatchPrompt: Accomplish more with less
85. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
86. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
87. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
88. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
89. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
90. ICLR 2024Discovering modular solutions that generalize compositionally
91. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
92. ICLR 2024Effective Data Augmentation With Diffusion Models
93. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
94. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
95. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
96. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
97. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
98. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
99. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
100. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models

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.