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

每年论文数

各会议论文数

按年份和会议统计

零样本分类论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202346552874203
202482455184262
202586564979270
202668446481257

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

全部零样本分类论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 192 篇，第 4 / 4 页

  1. ICML 2024Sharpness-Aware Data Generation for Zero-shot Quantization
  2. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
  3. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
  4. ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
  5. ICML 2024Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
  6. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
  7. ICML 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
  8. ICML 2024Total Variation Floodgate for Variable Importance Inference in Classification
  9. ICML 2024Trustless Audits without Revealing Data or Models
  10. ICML 2024Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
  11. ICML 2024VideoPoet: A Large Language Model for Zero-Shot Video Generation
  12. ICML 2024VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
  13. ICML 2024Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
  14. ICML 2024Zero-Shot Reinforcement Learning via Function Encoders
  15. ICML 2023A Closer Look at Few-shot Classification Again
  16. ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
  17. ICML 2023A Universal Unbiased Method for Classification from Aggregate Observations
  18. ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
  19. ICML 2023Adapting to game trees in zero-sum imperfect information games
  20. ICML 2023Adversarial Policies Beat Superhuman Go AIs
  21. ICML 2023Benign Overfitting in Deep Neural Networks under Lazy Training
  22. ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
  23. ICML 2023Computational Asymmetries in Robust Classification
  24. ICML 2023Continual Learning in Linear Classification on Separable Data
  25. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
  26. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
  27. ICML 2023Efficient Training of Language Models using Few-Shot Learning
  28. ICML 2023ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
  29. ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
  30. ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
  31. ICML 2023PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
  32. ICML 2023Probabilistic Imputation for Time-series Classification with Missing Data
  33. ICML 2023PromptBoosting: Black-Box Text Classification with Ten Forward Passes
  34. ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
  35. ICML 2023Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
  36. ICML 2023Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
  37. ICML 2023SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
  38. ICML 2023SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
  39. ICML 2023Strategic Classification with Unknown User Manipulations
  40. ICML 2023The Computational Complexity of Concise Hypersphere Classification
  41. ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
  42. ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot 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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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