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 45 篇，第 1 / 1 页

1. ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
2. ICLR 2024ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
3. ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
4. ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
5. ICLR 2024CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
6. ICLR 2024Classification with Conceptual Safeguards
7. ICLR 2024Consistency-guided Prompt Learning for Vision-Language Models
8. ICLR 2024DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
9. ICLR 2024Empirical Likelihood for Fair Classification
10. ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
11. ICLR 2024Evaluating the Zero-shot Robustness of Instruction-tuned Language Models
12. ICLR 2024FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
13. ICLR 2024Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
14. ICLR 2024Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
15. ICLR 2024Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
16. ICLR 2024Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
17. ICLR 2024From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
18. ICLR 2024GAIA: Zero-shot Talking Avatar Generation
19. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
20. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
21. ICLR 2024Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
22. ICLR 2024Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
23. ICLR 2024Intriguing Properties of Generative Classifiers
24. ICLR 2024Label-free Node Classification on Graphs with Large Language Models (LLMs)
25. ICLR 2024Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
26. ICLR 2024Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
27. ICLR 2024Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
28. ICLR 2024MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
29. ICLR 2024One For All: Towards Training One Graph Model For All Classification Tasks
30. ICLR 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
31. ICLR 2024PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
32. ICLR 2024Prompt Learning with Quaternion Networks
33. ICLR 2024R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
34. ICLR 2024Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
35. ICLR 2024ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
36. ICLR 2024SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
37. ICLR 2024Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
38. ICLR 2024Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
39. ICLR 2024The optimality of kernel classifiers in Sobolev space
40. ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
41. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
42. ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
43. ICLR 2024Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
44. ICLR 2024Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models
45. ICLR 2024Zero-Shot Robustification of Zero-Shot Models

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。