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 11 of 18

501. CVPR 2024Vlogger: Make Your Dream A Vlog
502. CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
503. CVPR 2024Z*: Zero-shot Style Transfer via Attention Reweighting
504. CVPR 2024ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
505. CVPR 2024Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping
506. CVPR 2024Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
507. CVPR 2024ZeroShape: Regression-based Zero-shot Shape Reconstruction
508. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
509. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
510. ICLR 2024BatchPrompt: Accomplish more with less
511. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
512. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
513. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
514. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
515. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
516. ICLR 2024Discovering modular solutions that generalize compositionally
517. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
518. ICLR 2024Effective Data Augmentation With Diffusion Models
519. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
520. ICLR 2024Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
521. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
522. ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
523. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
524. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
525. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
526. ICLR 2024Group Preference Optimization: Few-Shot Alignment of Large Language Models
527. ICLR 2024Information Retention via Learning Supplemental Features
528. ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
529. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
530. ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
531. ICLR 2024MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
532. ICLR 2024Neural Fine-Tuning Search for Few-Shot Learning
533. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
534. ICLR 2024One-shot Empirical Privacy Estimation for Federated Learning
535. ICLR 2024Overthinking the Truth: Understanding how Language Models Process False Demonstrations
536. ICLR 2024Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
537. ICLR 2024Personalize Segment Anything Model with One Shot
538. ICLR 2024Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
539. ICLR 2024Scalable Language Model with Generalized Continual Learning
540. ICLR 2024Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
541. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
542. ICLR 2024Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
543. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
544. ICLR 2024Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
545. ICLR 2024Zero-Shot Robustification of Zero-Shot Models
546. ICML 2024Accelerating Convergence in Bayesian Few-Shot Classification
547. ICML 2024Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
548. ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
549. ICML 2024Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
550. ICML 2024Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection

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.