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

897 papers, page 6 of 18

251. CVPR 2025Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
252. CVPR 2025ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
253. CVPR 2025InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
254. CVPR 2025Logits DeConfusion with CLIP for Few-Shot Learning
255. CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
256. CVPR 2025MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
257. CVPR 2025MVSAnywhere: Zero-Shot Multi-View Stereo
258. CVPR 2025One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
259. CVPR 2025OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
260. CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
261. CVPR 2025Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
262. CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
263. CVPR 2025Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
264. CVPR 2025SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
265. CVPR 2025SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
266. CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
267. CVPR 2025Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
268. CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
269. CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
270. CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
271. CVPR 2025Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
272. CVPR 2025Temporal Alignment-Free Video Matching for Few-shot Action Recognition
273. CVPR 2025Text Augmented Correlation Transformer For Few-shot Classification & Segmentation
274. CVPR 2025The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
275. CVPR 2025Token Cropr: Faster ViTs for Quite a Few Tasks
276. CVPR 2025Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
277. CVPR 2025Twinner: Shining Light on Digital Twins in a Few Snaps
278. CVPR 2025UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
279. CVPR 2025UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
280. CVPR 2025UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
281. CVPR 2025Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
282. CVPR 2025Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
283. CVPR 2025Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
284. CVPR 2025Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
285. CVPR 2025Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
286. CVPR 2025Zero-Shot Monocular Scene Flow Estimation in the Wild
287. CVPR 2025ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
288. ICLR 2025Aligning Language Models with Demonstrated Feedback
289. ICLR 2025Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
290. ICLR 2025CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
291. ICLR 2025Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
292. ICLR 2025Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning
293. ICLR 2025Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
294. ICLR 2025Emergence of meta-stable clustering in mean-field transformer models
295. ICLR 2025Federated Few-Shot Class-Incremental Learning
296. ICLR 2025FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine
297. ICLR 2025From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
298. ICLR 2025Intermediate Layer Classifiers for OOD generalization
299. ICLR 2025Large (Vision) Language Models are Unsupervised In-Context Learners
300. ICLR 2025Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

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.