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 68 篇，第 2 / 2 页
- NeurIPS 2026Subset-Conditioned Boundary Compensation for Missing-Modality Multimodal Classification
- NeurIPS 2026SVG-3D: Mining Decision Boundaries with Generative Splatting Priors for Zero-Shot 3D Classification
- NeurIPS 2026TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
- NeurIPS 2026Test-Time Adaptation via Self-Reinforced Optimal Transport for Zero-Shot OOD Detection with Vision–Language Models
- NeurIPS 2026TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
- NeurIPS 2026Toward Minimal-dimensional Convex Calibrated Surrogate Losses for Classification with Rejection
- NeurIPS 2026Transcoda: End-to-End Zero-Shot Optical Music Recognition via Data-Centric Synthetic Training
- NeurIPS 2026UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image
- NeurIPS 2026VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
- NeurIPS 2026Video Forensic Self-Descriptions: Leveraging Temporally Distributed Forensic Microstructures for Zero-Shot Detection of AI-Generated Videos
- NeurIPS 2026VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning
- NeurIPS 2026Voxel as Token: A New Perspective for Zero-shot Cross-subject Vision Decoding
- NeurIPS 2026When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering
- NeurIPS 2026When Does Subspace Direction Matter for LoRA? Regime Analysis of the Magnitude Principle in Few-Shot Adaptation
- NeurIPS 2026When Graph Structure Provably Helps Classification: Non-Asymptotic Recovery Guarantees
- NeurIPS 2026ZEBRA: Zero-shot Budgeted Resource Allocation for LLM Orchestration
- NeurIPS 2026Zero-Shot Coordination among LLM Agents
- NeurIPS 2026Zero-Shot Instruction Following in RL via Structured LTL Representations
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。