Few-Shot Learning papers, 2023–2026
Meta-learning and few-shot
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 898 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 76 | 56 | 40 | 79 | 251 |
| 2024 | 64 | 38 | 37 | 81 | 220 |
| 2025 | 68 | 36 | 35 | 64 | 203 |
| 2026 | 51 | 38 | 56 | 79 | 224 |
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
220 papers, page 5 of 5
- NeurIPS 2024Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
- NeurIPS 2024Pretrained Optimization Model for Zero-Shot Black Box Optimization
- NeurIPS 2024QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
- NeurIPS 2024Rapid Plug-in Defenders
- NeurIPS 2024Revisiting Ensembling in One-Shot Federated Learning
- NeurIPS 2024Robust Fine-tuning of Zero-shot Models via Variance Reduction
- NeurIPS 2024Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
- NeurIPS 2024SpeAr: A Spectral Approach for Zero-Shot Node Classification
- NeurIPS 2024Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
- NeurIPS 2024The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models
- NeurIPS 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
- NeurIPS 2024Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- NeurIPS 2024TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
- NeurIPS 2024Transformers are Minimax Optimal Nonparametric In-Context Learners
- NeurIPS 2024UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
- NeurIPS 2024Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
- NeurIPS 2024XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
- NeurIPS 2024Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
- NeurIPS 2024Zero-Shot Tokenizer Transfer
- NeurIPS 2024Zero-Shot Transfer of Neural ODEs
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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.