零样本分类论文趋势 2023–2026

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。

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 51 篇，第 1 / 2 页

1. ICML 2024$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
2. ICML 2024Accelerating Convergence in Bayesian Few-Shot Classification
3. ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
4. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
5. ICML 2024Benign Overfitting in Adversarial Training of Neural Networks
6. ICML 2024Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
7. ICML 2024Classification Under Strategic Self-Selection
8. ICML 2024Compositional Few-Shot Class-Incremental Learning
9. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
10. ICML 2024Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
11. ICML 2024Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
12. ICML 2024DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
13. ICML 2024Early Time Classification with Accumulated Accuracy Gap Control
14. ICML 2024Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer
15. ICML 2024Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
16. ICML 2024Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
17. ICML 2024How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
18. ICML 2024HyperFields: Towards Zero-Shot Generation of NeRFs from Text
19. ICML 2024Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
20. ICML 2024Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
21. ICML 2024Learning to Route Among Specialized Experts for Zero-Shot Generalization
22. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
23. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
24. ICML 2024Meta Evidential Transformer for Few-Shot Open-Set Recognition
25. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
26. ICML 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
27. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
28. ICML 2024No Dimensional Sampling Coresets for Classification
29. ICML 2024One Meta-tuned Transformer is What You Need for Few-shot Learning
30. ICML 2024One-Shot Strategic Classification Under Unknown Costs
31. ICML 2024PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
32. ICML 2024Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
33. ICML 2024Prompt-based Visual Alignment for Zero-shot Policy Transfer
34. ICML 2024Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
35. ICML 2024QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
36. ICML 2024Restoring balance: principled under/oversampling of data for optimal classification
37. ICML 2024Robust Classification via a Single Diffusion Model
38. ICML 2024Sharpness-Aware Data Generation for Zero-shot Quantization
39. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
40. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
41. ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
42. ICML 2024Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
43. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
44. ICML 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
45. ICML 2024Total Variation Floodgate for Variable Importance Inference in Classification
46. ICML 2024Trustless Audits without Revealing Data or Models
47. ICML 2024Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
48. ICML 2024VideoPoet: A Large Language Model for Zero-Shot Video Generation
49. ICML 2024VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
50. ICML 2024Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

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。