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
40 papers, page 1 of 1
- ICML 2023A Category-theoretical Meta-analysis of Definitions of Disentanglement
- ICML 2023A Closer Look at Few-shot Classification Again
- ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
- ICML 2023Adaptive Compositional Continual Meta-Learning
- ICML 2023Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
- ICML 2023Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
- ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
- ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
- ICML 2023Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
- ICML 2023Does Continual Learning Equally Forget All Parameters?
- ICML 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizer
- ICML 2023Efficient Training of Language Models using Few-Shot Learning
- ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
- ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
- ICML 2023Few-Sample Feature Selection via Feature Manifold Learning
- ICML 2023GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
- ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
- ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
- ICML 2023Learning the Dynamics of Sparsely Observed Interacting Systems
- ICML 2023Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
- ICML 2023Lifelong Language Pretraining with Distribution-Specialized Experts
- ICML 2023Meta Optimal Transport
- ICML 2023Meta-learning Parameterized Skills
- ICML 2023Meta-Learning the Inductive Bias of Simple Neural Circuits
- ICML 2023MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
- ICML 2023MEWL: Few-shot multimodal word learning with referential uncertainty
- ICML 2023Model-agnostic Measure of Generalization Difficulty
- ICML 2023One-Shot Federated Conformal Prediction
- ICML 2023One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
- ICML 2023Online Prototype Alignment for Few-shot Policy Transfer
- ICML 2023PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
- ICML 2023Reward-Mixing MDPs with Few Latent Contexts are Learnable
- ICML 2023SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
- ICML 2023Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
- ICML 2023SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
- ICML 2023The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
- ICML 2023Towards Controlled Data Augmentations for Active Learning
- ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
- ICML 2023Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
- ICML 2023Variance Control for Distributional Reinforcement Learning
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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.