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 1 / 2 页
- CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
- CVPR 2023A Loopback Network for Explainable Microvascular Invasion Classification
- CVPR 2023Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
- CVPR 2023An Erudite Fine-Grained Visual Classification Model
- CVPR 2023AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR
- CVPR 2023Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
- CVPR 2023Bi-Level Meta-Learning for Few-Shot Domain Generalization
- CVPR 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
- CVPR 2023CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language
- CVPR 2023ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing
- CVPR 2023CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
- CVPR 2023Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
- CVPR 2023Delving Into Shape-Aware Zero-Shot Semantic Segmentation
- CVPR 2023DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
- CVPR 2023Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
- CVPR 2023Doubly Right Object Recognition: A Why Prompt for Visual Rationales
- CVPR 2023Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
- CVPR 2023Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
- CVPR 2023Few-Shot Geometry-Aware Keypoint Localization
- CVPR 2023Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
- CVPR 2023Few-Shot Referring Relationships in Videos
- CVPR 2023Fine-Grained Classification With Noisy Labels
- CVPR 2023Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models
- CVPR 2023FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization
- CVPR 2023From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models
- CVPR 2023Glocal Energy-Based Learning for Few-Shot Open-Set Recognition
- CVPR 2023Hard Sample Matters a Lot in Zero-Shot Quantization
- CVPR 2023Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings
- CVPR 2023I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
- CVPR 2023iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition
- CVPR 2023Improving Zero-Shot Generalization and Robustness of Multi-Modal Models
- CVPR 2023Interactive Segmentation As Gaussion Process Classification
- CVPR 2023Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
- CVPR 2023Learning Attention As Disentangler for Compositional Zero-Shot Learning
- CVPR 2023Learning Bottleneck Concepts in Image Classification
- CVPR 2023Learning Conditional Attributes for Compositional Zero-Shot Learning
- CVPR 2023Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
- CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
- CVPR 2023MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
- CVPR 2023Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
- CVPR 2023NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
- CVPR 2023Non-Contrastive Learning Meets Language-Image Pre-Training
- CVPR 2023One-Shot Model for Mixed-Precision Quantization
- CVPR 2023Open-Set Likelihood Maximization for Few-Shot Learning
- CVPR 2023OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering
- CVPR 2023Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval
- CVPR 2023Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation
- CVPR 2023ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
- CVPR 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
- CVPR 2023Prompt-Guided Zero-Shot Anomaly Action Recognition Using Pretrained Deep Skeleton 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。