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 262 篇，第 4 / 6 页

  1. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
  2. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
  3. ICML 2024Meta Evidential Transformer for Few-Shot Open-Set Recognition
  4. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
  5. ICML 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
  6. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
  7. ICML 2024No Dimensional Sampling Coresets for Classification
  8. ICML 2024One Meta-tuned Transformer is What You Need for Few-shot Learning
  9. ICML 2024One-Shot Strategic Classification Under Unknown Costs
  10. ICML 2024PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
  11. ICML 2024Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
  12. ICML 2024Prompt-based Visual Alignment for Zero-shot Policy Transfer
  13. ICML 2024Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
  14. ICML 2024QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
  15. ICML 2024Restoring balance: principled under/oversampling of data for optimal classification
  16. ICML 2024Robust Classification via a Single Diffusion Model
  17. ICML 2024Sharpness-Aware Data Generation for Zero-shot Quantization
  18. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
  19. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
  20. ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
  21. ICML 2024Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
  22. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
  23. ICML 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
  24. ICML 2024Total Variation Floodgate for Variable Importance Inference in Classification
  25. ICML 2024Trustless Audits without Revealing Data or Models
  26. ICML 2024Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
  27. ICML 2024VideoPoet: A Large Language Model for Zero-Shot Video Generation
  28. ICML 2024VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
  29. ICML 2024Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
  30. ICML 2024Zero-Shot Reinforcement Learning via Function Encoders
  31. NeurIPS 2024$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
  32. NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
  33. NeurIPS 2024ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
  34. NeurIPS 2024An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
  35. NeurIPS 2024AutoMix: Automatically Mixing Language Models
  36. NeurIPS 2024AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
  37. NeurIPS 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
  38. NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
  39. NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
  40. NeurIPS 2024Building a stable classifier with the inflated argmax
  41. NeurIPS 2024Building Timeseries Dataset: Empowering Large-Scale Building Analytics
  42. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
  43. NeurIPS 2024Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
  44. NeurIPS 2024Classification Diffusion Models: Revitalizing Density Ratio Estimation
  45. NeurIPS 2024Combining Observational Data and Language for Species Range Estimation
  46. NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
  47. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
  48. NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
  49. NeurIPS 2024CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
  50. NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge

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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