小样本学习论文趋势 2023–2026
元学习与小样本
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 898 篇被归入该主题的论文。
主要结论
- 小样本学习论文从 2023 年的 251 篇降到 2026 年的 224 篇,热度在回落。
- CVPR 是发小样本学习论文最多的会议,2023–2026 年共 303 篇,占四个会议总量的 34%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 24 篇。
- 在「元学习与迁移」的 5 个主题里,它的 2026 年论文数排第 4;同组增长最快的基础模型适配是 3.8 倍,小样本学习是 0.9 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 76 | 56 | 40 | 79 | 251 |
| 2024 | 64 | 38 | 37 | 81 | 220 |
| 2025 | 68 | 36 | 35 | 64 | 203 |
| 2026 | 51 | 38 | 56 | 79 | 224 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- 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
全部小样本学习论文
共 302 篇,第 3 / 7 页
- CVPR 2025FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
- CVPR 2025Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
- CVPR 2025GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
- CVPR 2025HumanMM: Global Human Motion Recovery from Multi-shot Videos
- CVPR 2025Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation
- CVPR 2025Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
- CVPR 2025ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
- CVPR 2025InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
- CVPR 2025Logits DeConfusion with CLIP for Few-Shot Learning
- CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
- CVPR 2025MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
- CVPR 2025MVSAnywhere: Zero-Shot Multi-View Stereo
- CVPR 2025One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
- CVPR 2025OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
- CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
- CVPR 2025Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
- CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
- CVPR 2025Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
- CVPR 2025SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
- CVPR 2025SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
- CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
- CVPR 2025Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
- CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
- CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
- CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
- CVPR 2025Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
- CVPR 2025Temporal Alignment-Free Video Matching for Few-shot Action Recognition
- CVPR 2025Text Augmented Correlation Transformer For Few-shot Classification & Segmentation
- CVPR 2025The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
- CVPR 2025Token Cropr: Faster ViTs for Quite a Few Tasks
- CVPR 2025Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
- CVPR 2025Twinner: Shining Light on Digital Twins in a Few Snaps
- CVPR 2025UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
- CVPR 2025UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
- CVPR 2025UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
- CVPR 2025Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
- CVPR 2025Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
- CVPR 2025Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
- CVPR 2025Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
- CVPR 2025Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
- CVPR 2025Zero-Shot Monocular Scene Flow Estimation in the Wild
- CVPR 2025ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
- CVPR 20243DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
- CVPR 2024A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
- CVPR 2024Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
- CVPR 2024Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
- CVPR 2024Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
- CVPR 2024AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
- CVPR 2024APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
- CVPR 2024Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查小样本学习在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "few-shot-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇小样本学习论文?
- 共 898 篇,按年份分别是 2023 年 251 篇、2024 年 220 篇、2025 年 203 篇、2026 年 224 篇。
- NeurIPS 2026 有多少篇小样本学习论文?
- NeurIPS 2026 有 51 篇小样本学习论文,上一届是 68 篇。
- ICLR 2026 有多少篇小样本学习论文?
- ICLR 2026 有 38 篇小样本学习论文,上一届是 36 篇。
- ICML 2026 有多少篇小样本学习论文?
- ICML 2026 有 56 篇小样本学习论文,上一届是 35 篇。
- CVPR 2026 有多少篇小样本学习论文?
- CVPR 2026 有 79 篇小样本学习论文,上一届是 64 篇。
- 哪个会议的小样本学习论文最多?
- CVPR,2023–2026 年共 303 篇。