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 992 篇,第 4 / 20 页
- ICML 2026HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
- ICML 2026Improving Zero-Shot Offline RL via Behavioral Task Sampling
- ICML 2026InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
- ICML 2026Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision–Language Models
- ICML 2026Klein Hyperbolic Metric Learning
- ICML 2026Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization’s Impact on VLMs Beyond Accuracy
- ICML 2026Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems
- ICML 2026Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
- ICML 2026MusicDET: Zero-Shot AI-Generated Music Detection
- ICML 2026Neural QAOA$^2$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
- ICML 2026Offline Two-Player Zero-Sum Markov Games with KL Regularization
- ICML 2026On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
- ICML 2026OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
- ICML 2026Prompt Tuning for CLIP on the Pretrained Manifold
- ICML 2026Protein Autoregressive Modeling via Multiscale Structure Generation
- ICML 2026PSMix: Robust Point Cloud Recognition through Spectral Domain Mixing
- ICML 2026RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
- ICML 2026Scaling depth capacity via zero/one-layer model expansion
- ICML 2026scCBGM: Single-Cell Editing via Concept Bottlenecks
- ICML 2026Segment Anything with Robust Uncertainty-Accuracy Correlation
- ICML 2026SGERA: Stein-Guided ECG-Report Alignment for ECG Representation Learning
- ICML 2026Stabilizing Equation Learning via Zero-Point Constraints
- ICML 2026Stage-wise Distortion–Perception Traversal in Zero-shot Inverse Problems with Diffusion Models
- ICML 2026Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
- ICML 2026Test-time Generalization for Physics through Neural Operator Splitting
- ICML 2026TextMesh4D: Zero-shot Text-to-4D Mesh Generation
- ICML 2026Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
- ICML 2026Treatment Responder Classification with Abstention
- ICML 2026Universal Algorithm-Implicit Learning
- ICML 2026URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
- ICML 2026VocSim A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
- ICML 2026Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction
- ICML 2026Welfare-Optimal Classification with Accuracy Auctions
- ICML 2026When Generalized Zero-Shot Learning Meets PU Learning: A Plug-and-Play Framework for Seen-Class Bias Mitigation
- ICML 2026Zero-Flow Encoders
- ICML 2026Zero-shot Active Mapping via Fused 360-BEV Representations and Vision–Language Models
- ICML 2026Zero-Shot Off-Policy Learning
- ICML 2026Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
- ICML 2026ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion
- NeurIPS 2026A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
- NeurIPS 2026Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
- NeurIPS 2026Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy
- NeurIPS 2026Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
- NeurIPS 2026Black-box model classification under the discriminative factorization
- NeurIPS 2026BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought Reasoning
- NeurIPS 2026Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
- NeurIPS 2026Data-Driven Soft Labeling Scales DNA Read Classification to Whole-Body Cell-Type Deconvolution
- NeurIPS 2026Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing
- NeurIPS 2026DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
- NeurIPS 2026DeltaMomentum: A Key-Value based Anisotropic Momentum Update via Delta Rule
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。