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 3 of 7

101. CVPR 2025FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
102. CVPR 2025Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
103. CVPR 2025GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
104. CVPR 2025HumanMM: Global Human Motion Recovery from Multi-shot Videos
105. CVPR 2025Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation
106. CVPR 2025Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
107. CVPR 2025ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
108. CVPR 2025InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
109. CVPR 2025Logits DeConfusion with CLIP for Few-Shot Learning
110. CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
111. CVPR 2025MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
112. CVPR 2025MVSAnywhere: Zero-Shot Multi-View Stereo
113. CVPR 2025One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
114. CVPR 2025OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
115. CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
116. CVPR 2025Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
117. CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
118. CVPR 2025Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
119. CVPR 2025SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
120. CVPR 2025SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
121. CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
122. CVPR 2025Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
123. CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
124. CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
125. CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
126. CVPR 2025Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
127. CVPR 2025Temporal Alignment-Free Video Matching for Few-shot Action Recognition
128. CVPR 2025Text Augmented Correlation Transformer For Few-shot Classification & Segmentation
129. CVPR 2025The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
130. CVPR 2025Token Cropr: Faster ViTs for Quite a Few Tasks
131. CVPR 2025Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
132. CVPR 2025Twinner: Shining Light on Digital Twins in a Few Snaps
133. CVPR 2025UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
134. CVPR 2025UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
135. CVPR 2025UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
136. CVPR 2025Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
137. CVPR 2025Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
138. CVPR 2025Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
139. CVPR 2025Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
140. CVPR 2025Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
141. CVPR 2025Zero-Shot Monocular Scene Flow Estimation in the Wild
142. CVPR 2025ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
143. CVPR 20243DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
144. CVPR 2024A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
145. CVPR 2024Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
146. CVPR 2024Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
147. CVPR 2024Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
148. CVPR 2024AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
149. CVPR 2024APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
150. CVPR 2024Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features

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.