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

302 papers, page 2 of 7

51. CVPR 2026ProjFlow Projection Sampling with Flow Matching for Zero-Shot Exact Spatial
52. CVPR 2026PromptStereo Zero-Shot Stereo Matching via Structure and Motion Prompts
53. CVPR 2026Quantized Residuals to Continuous Prompts for Few-Shot Class Incremental Learning
54. CVPR 2026Reading Your Actions Learning Generalizable Action Representations via Pre-training AEMG
55. CVPR 2026Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning
56. CVPR 2026Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP
57. CVPR 2026RefTon Reference person shot assist virtual Try-on
58. CVPR 2026Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
59. CVPR 2026Retrieve and Segment Are a Few Examples Enough to Bridge
60. CVPR 2026Robustness Under Data Scarcity Few-Shot Continual Adversarial Training for Evolving
61. CVPR 2026SD-FSMIS Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
62. CVPR 2026Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning
63. CVPR 2026SkeletonContext Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition
64. CVPR 2026STiTch Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot
65. CVPR 2026SubspaceAD Training-Free Few-Shot Anomaly Detection via Subspace Modeling
66. CVPR 2026SWIFT Sliding Window Reconstruction for Few-Shot Training-Free Generated Video Attribution
67. CVPR 2026TAPE Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot
68. CVPR 2026Towards Multimodal Domain Generalization with Few Labels
69. CVPR 2026Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
70. CVPR 2026Uni-DAD Unified Distillation and Adaptation of Diffusion Models for Few-step
71. CVPR 2026Universal-to-Specific Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide
72. CVPR 2026Unlocking Pre-trained Weights Parameter Inheritance for Zero-Shot Initialization
73. CVPR 2026VGGT-360 Geometry-Consistent Zero-Shot Panoramic Depth Estimation
74. CVPR 2026What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching
75. CVPR 2026X-WIN Building Chest Radiograph World Model via Predictive Sensing
76. CVPR 2026Your Dissimilarities Define You Complementary Learning Exploiting Class Diversities
77. CVPR 2026Zero-shot Detection of AI-Generated Image via RAW-RGB Alignment
78. CVPR 2026Zero-Shot Reconstruction of Animatable 3D Avatars with Cloth Dynamics from
79. CVPR 20253D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
80. CVPR 2025A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
81. CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
82. CVPR 2025COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
83. CVPR 2025Conformal Prediction for Zero-Shot Models
84. CVPR 2025ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
85. CVPR 2025Cross-View Completion Models are Zero-shot Correspondence Estimators
86. CVPR 2025Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
87. CVPR 2025DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
88. CVPR 2025Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
89. CVPR 2025Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
90. CVPR 2025EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction
91. CVPR 2025Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
92. CVPR 2025EZSR: Event-based Zero-Shot Recognition
93. CVPR 2025FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
94. CVPR 2025Few-shot Implicit Function Generation via Equivariance
95. CVPR 2025Few-shot Personalized Scanpath Prediction
96. CVPR 2025Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
97. CVPR 2025FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
98. CVPR 2025FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
99. CVPR 2025FoundationStereo: Zero-Shot Stereo Matching
100. CVPR 2025FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

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.