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 86 篇,第 1 / 2 页
- NeurIPS 2025\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
- NeurIPS 2025A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
- NeurIPS 2025An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
- NeurIPS 2025BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation
- NeurIPS 2025Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
- NeurIPS 2025Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
- NeurIPS 2025Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images
- NeurIPS 2025CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning
- NeurIPS 2025CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
- NeurIPS 2025Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection
- NeurIPS 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
- NeurIPS 2025DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models
- NeurIPS 2025Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
- NeurIPS 2025Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
- NeurIPS 2025Embedding Principle of Homogeneous Neural Network for Classification Problem
- NeurIPS 2025Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
- NeurIPS 2025Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
- NeurIPS 2025Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning
- NeurIPS 2025Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
- NeurIPS 2025FlowRefiner: A Robust Traffic Classification Framework against Label Noise
- NeurIPS 2025From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
- NeurIPS 2025Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
- NeurIPS 2025Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
- NeurIPS 2025How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
- NeurIPS 2025IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
- NeurIPS 2025iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
- NeurIPS 2025Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
- NeurIPS 2025Improved Balanced Classification with Theoretically Grounded Loss Functions
- NeurIPS 2025In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
- NeurIPS 2025Incremental Sequence Classification with Temporal Consistency
- NeurIPS 2025InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
- NeurIPS 2025Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
- NeurIPS 2025MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
- NeurIPS 2025MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention
- NeurIPS 2025MoonCast: High-Quality Zero-Shot Podcast Generation
- NeurIPS 2025Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
- NeurIPS 2025Multitask Learning with Stochastic Interpolants
- NeurIPS 2025Optimism Without Regularization: Constant Regret in Zero-Sum Games
- NeurIPS 2025ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
- NeurIPS 2025Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
- NeurIPS 2025PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting
- NeurIPS 2025Preference-driven Knowledge Distillation for Few-shot Node Classification
- NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
- NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
- NeurIPS 2025RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
- NeurIPS 2025Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
- NeurIPS 2025Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
- NeurIPS 2025Rethinking Approximate Gaussian Inference in Classification
- NeurIPS 2025Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
- NeurIPS 2025RLZero: Direct Policy Inference from Language Without In-Domain Supervision
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。