零样本分类论文趋势 2023–2026
零样本识别
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 992 篇被归入该主题的论文。
主要结论
- 零样本分类论文从 2023 年的 203 篇增长到 2026 年的 257 篇,三年间扩大到约 1.3 倍。
- CVPR 是发零样本分类论文最多的会议,2023–2026 年共 318 篇,占四个会议总量的 32%。
- 交叉方向里涨得最快的是强化学习:同时属于两个主题的论文从 2023 年的 7 篇增至 2026 年的 22 篇。
- 在「开放词汇视觉」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的视觉定位是 4.3 倍,零样本分类是 1.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 46 | 55 | 28 | 74 | 203 |
| 2024 | 82 | 45 | 51 | 84 | 262 |
| 2025 | 86 | 56 | 49 | 79 | 270 |
| 2026 | 68 | 44 | 64 | 81 | 257 |
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 2026A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
- ICML 2026Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
- ICLR 2026Boomerang Distillation Enables Zero-Shot Model Size Interpolation
- CVPR 2026AG-VAS Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models
- NeurIPS 2025\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
- ICML 2025A Classification View on Meta Learning Bandits
- ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
- CVPR 2025AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
- NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
- ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
- ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
- CVPR 2024Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
- NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
- ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
- ICLR 2023Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
- CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
- NeurIPS 2026Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
- ICML 2026Calibrating Uncertainty for Zero-Shot Adversarial CLIP
- ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
- CVPR 2026DLVP-CLIP Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual
全部零样本分类论文
共 74 篇,第 2 / 2 页
- CVPR 2023Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
- CVPR 2023Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
- CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
- CVPR 2023Robust 3D Shape Classification via Non-Local Graph Attention Network
- CVPR 2023Semantic Prompt for Few-Shot Image Recognition
- CVPR 2023Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
- CVPR 2023StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields
- CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
- CVPR 2023Thermal Spread Functions (TSF): Physics-Guided Material Classification
- CVPR 2023ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
- CVPR 2023Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
- CVPR 2023Weak-Shot Object Detection Through Mutual Knowledge Transfer
- CVPR 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
- CVPR 2023ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection
- CVPR 2023ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation
- CVPR 2023Zero-Shot Dual-Lens Super-Resolution
- CVPR 2023Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
- CVPR 2023Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
- CVPR 2023Zero-Shot Model Diagnosis
- CVPR 2023Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data
- CVPR 2023Zero-Shot Object Counting
- CVPR 2023Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters
- CVPR 2023Zero-Shot Referring Image Segmentation With Global-Local Context Features
- CVPR 2023Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
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 查零样本分类在 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": "zero-shot-classification"}
常见问题
- 2023–2026 年四大会议一共有多少篇零样本分类论文?
- 共 992 篇,按年份分别是 2023 年 203 篇、2024 年 262 篇、2025 年 270 篇、2026 年 257 篇。
- NeurIPS 2026 有多少篇零样本分类论文?
- NeurIPS 2026 有 68 篇零样本分类论文,上一届是 86 篇。
- ICLR 2026 有多少篇零样本分类论文?
- ICLR 2026 有 44 篇零样本分类论文,上一届是 56 篇。
- ICML 2026 有多少篇零样本分类论文?
- ICML 2026 有 64 篇零样本分类论文,上一届是 49 篇。
- CVPR 2026 有多少篇零样本分类论文?
- CVPR 2026 有 81 篇零样本分类论文,上一届是 79 篇。
- 哪个会议的零样本分类论文最多?
- CVPR,2023–2026 年共 318 篇。