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 82 篇,第 1 / 2 页
- NeurIPS 2024$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
- NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
- NeurIPS 2024ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
- NeurIPS 2024An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
- NeurIPS 2024AutoMix: Automatically Mixing Language Models
- NeurIPS 2024AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
- NeurIPS 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
- NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
- NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
- NeurIPS 2024Building a stable classifier with the inflated argmax
- NeurIPS 2024Building Timeseries Dataset: Empowering Large-Scale Building Analytics
- NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
- NeurIPS 2024Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
- NeurIPS 2024Classification Diffusion Models: Revitalizing Density Ratio Estimation
- NeurIPS 2024Combining Observational Data and Language for Species Range Estimation
- NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
- NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
- NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
- NeurIPS 2024CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
- NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
- NeurIPS 2024Distributional Successor Features Enable Zero-Shot Policy Optimization
- NeurIPS 2024Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
- NeurIPS 2024EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning
- NeurIPS 2024Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
- NeurIPS 2024EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
- NeurIPS 2024EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
- NeurIPS 2024Facilitating Multimodal Classification via Dynamically Learning Modality Gap
- NeurIPS 2024Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
- NeurIPS 2024Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
- NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
- NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
- NeurIPS 2024Foundation Inference Models for Markov Jump Processes
- NeurIPS 2024GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance
- NeurIPS 2024GLBench: A Comprehensive Benchmark for Graph with Large Language Models
- NeurIPS 2024Hierarchical Selective Classification
- NeurIPS 2024How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
- NeurIPS 2024Implicit Bias of Mirror Flow on Separable Data
- NeurIPS 2024Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation
- NeurIPS 2024Instance-adaptive Zero-shot Chain-of-Thought Prompting
- NeurIPS 2024InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
- NeurIPS 2024Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
- NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
- NeurIPS 2024Listenable Maps for Zero-Shot Audio Classifiers
- NeurIPS 2024LLM-based Skill Diffusion for Zero-shot Policy Adaptation
- NeurIPS 2024LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
- NeurIPS 2024LRM-Zero: Training Large Reconstruction Models with Synthesized Data
- NeurIPS 2024Masked Pre-training Enables Universal Zero-shot Denoiser
- NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
- NeurIPS 2024Model-Based Transfer Learning for Contextual Reinforcement Learning
- NeurIPS 2024Multiclass Transductive Online Learning
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。