零样本分类论文趋势 2023–2026

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。

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 28 篇，第 1 / 1 页

1. ICML 2023A Closer Look at Few-shot Classification Again
2. ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
3. ICML 2023A Universal Unbiased Method for Classification from Aggregate Observations
4. ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
5. ICML 2023Adapting to game trees in zero-sum imperfect information games
6. ICML 2023Adversarial Policies Beat Superhuman Go AIs
7. ICML 2023Benign Overfitting in Deep Neural Networks under Lazy Training
8. ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
9. ICML 2023Computational Asymmetries in Robust Classification
10. ICML 2023Continual Learning in Linear Classification on Separable Data
11. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
12. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
13. ICML 2023Efficient Training of Language Models using Few-Shot Learning
14. ICML 2023ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
15. ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
16. ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
17. ICML 2023PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
18. ICML 2023Probabilistic Imputation for Time-series Classification with Missing Data
19. ICML 2023PromptBoosting: Black-Box Text Classification with Ten Forward Passes
20. ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
21. ICML 2023Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
22. ICML 2023Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
23. ICML 2023SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
24. ICML 2023SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
25. ICML 2023Strategic Classification with Unknown User Manipulations
26. ICML 2023The Computational Complexity of Concise Hypersphere Classification
27. ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
28. ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

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。