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 10 of 18

451. CVPR 2024Few-shot Learner Parameterization by Diffusion Time-steps
452. CVPR 2024Few-Shot Object Detection with Foundation Models
453. CVPR 2024Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
454. CVPR 2024FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
455. CVPR 2024Frozen Feature Augmentation for Few-Shot Image Classification
456. CVPR 2024FSC: Few-point Shape Completion
457. CVPR 2024Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
458. CVPR 2024Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses
459. CVPR 2024HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
460. CVPR 2024HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
461. CVPR 2024ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
462. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
463. CVPR 2024Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
464. CVPR 2024Instance-based Max-margin for Practical Few-shot Recognition
465. CVPR 2024Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
466. CVPR 2024LAMP: Learn A Motion Pattern for Few-Shot Video Generation
467. CVPR 2024Large Language Models are Good Prompt Learners for Low-Shot Image Classification
468. CVPR 2024Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
469. CVPR 2024Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
470. CVPR 2024LLaFS: When Large Language Models Meet Few-Shot Segmentation
471. CVPR 2024LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
472. CVPR 2024Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
473. CVPR 2024Multiplane Prior Guided Few-Shot Aerial Scene Rendering
474. CVPR 2024No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
475. CVPR 2024OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
476. CVPR 2024One-Prompt to Segment All Medical Images
477. CVPR 2024One-Shot Open Affordance Learning with Foundation Models
478. CVPR 2024One-step Diffusion with Distribution Matching Distillation
479. CVPR 2024OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
480. CVPR 2024Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
481. CVPR 2024Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
482. CVPR 2024Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
483. CVPR 2024Prompt Learning via Meta-Regularization
484. CVPR 2024PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
485. CVPR 2024Referring Expression Counting
486. CVPR 2024Rethinking Few-shot 3D Point Cloud Semantic Segmentation
487. CVPR 2024Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
488. CVPR 2024Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
489. CVPR 2024SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
490. CVPR 2024Simple Semantic-Aided Few-Shot Learning
491. CVPR 2024SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
492. CVPR 2024SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
493. CVPR 2024Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
494. CVPR 2024Towards Generalizing to Unseen Domains with Few Labels
495. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
496. CVPR 2024Transductive Zero-Shot and Few-Shot CLIP
497. CVPR 2024Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
498. CVPR 2024Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
499. CVPR 2024URHand: Universal Relightable Hands
500. CVPR 2024Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach

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.