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 44 篇,第 1 / 1 页
- ICLR 2026A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
- ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
- ICLR 2026An efficient, provably optimal, practical algorithm for the 0-1 loss linear classification problem
- ICLR 2026Boomerang Distillation Enables Zero-Shot Model Size Interpolation
- ICLR 2026Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training
- ICLR 2026BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, and Rerankers
- ICLR 2026CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model
- ICLR 2026CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
- ICLR 2026CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
- ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
- ICLR 2026Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
- ICLR 2026Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
- ICLR 2026DiVE-k: DIFFERENTIAL VISUAL REASONING FOR FINE-GRAINED IMAGE RECOGNITION
- ICLR 2026Does the Data Processing Inequality Reflect Practice? On the Utility of Low-Level Tasks
- ICLR 2026Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance
- ICLR 2026EMBridge: Enhancing Gesture Generalization from EMG Signals Through Cross-modal Representation Learning
- ICLR 2026Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification
- ICLR 2026gen2seg: Generative Models Enable Generalizable Instance Segmentation
- ICLR 2026In-Context Learning of Temporal Point Processes with Foundation Inference Models
- ICLR 2026KernelFusion: Zero-Shot Blind Super-Resolution via Patch Diffusion
- ICLR 2026Learning From Dictionary: Enhancing Robustness of Machine-Generated Text Detection in Zero-Shot Language via Adversarial Training
- ICLR 2026Learning from Label Proportions via Proportional Value Classification
- ICLR 2026Learning to Grasp Anything By Playing with Random Toys
- ICLR 2026Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding
- ICLR 2026Measuring Uncertainty Calibration
- ICLR 2026Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
- ICLR 2026MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval
- ICLR 2026Object-Centric Refinement for Enhanced Zero-Shot Segmentation
- ICLR 2026On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear Games
- ICLR 2026OWLEYE: ZERO-SHOT LEARNER FOR CROSSDOMAIN GRAPH DATA ANOMALY DETECTION
- ICLR 2026pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning
- ICLR 2026Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
- ICLR 2026Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
- ICLR 2026Sim2Real VLA: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation
- ICLR 2026Structure-Aware Graph Hypernetworks for Neural Program Synthesis
- ICLR 2026The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
- ICLR 2026TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design
- ICLR 2026Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression
- ICLR 2026Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label Classification
- ICLR 2026VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision–Language Models
- ICLR 2026Zero-shot Forecasting by Simulation Alone
- ICLR 2026Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
- ICLR 2026Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers
- ICLR 2026ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
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。