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 992 篇，第 14 / 20 页

  1. ICLR 2024Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
  2. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
  3. ICLR 2024Zero Bubble (Almost) Pipeline Parallelism
  4. ICLR 2024Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
  5. ICLR 2024Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models
  6. ICLR 2024Zero-Shot Robustification of Zero-Shot Models
  7. ICML 2024$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
  8. ICML 2024Accelerating Convergence in Bayesian Few-Shot Classification
  9. ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
  10. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
  11. ICML 2024Benign Overfitting in Adversarial Training of Neural Networks
  12. ICML 2024Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
  13. ICML 2024Classification Under Strategic Self-Selection
  14. ICML 2024Compositional Few-Shot Class-Incremental Learning
  15. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
  16. ICML 2024Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
  17. ICML 2024Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
  18. ICML 2024DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
  19. ICML 2024Early Time Classification with Accumulated Accuracy Gap Control
  20. ICML 2024Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer
  21. ICML 2024Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
  22. ICML 2024Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
  23. ICML 2024How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
  24. ICML 2024HyperFields: Towards Zero-Shot Generation of NeRFs from Text
  25. ICML 2024Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition
  26. ICML 2024Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
  27. ICML 2024Learning to Route Among Specialized Experts for Zero-Shot Generalization
  28. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
  29. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
  30. ICML 2024Meta Evidential Transformer for Few-Shot Open-Set Recognition
  31. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
  32. ICML 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
  33. ICML 2024Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
  34. ICML 2024No Dimensional Sampling Coresets for Classification
  35. ICML 2024One Meta-tuned Transformer is What You Need for Few-shot Learning
  36. ICML 2024One-Shot Strategic Classification Under Unknown Costs
  37. ICML 2024PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
  38. ICML 2024Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
  39. ICML 2024Prompt-based Visual Alignment for Zero-shot Policy Transfer
  40. ICML 2024Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
  41. ICML 2024QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
  42. ICML 2024Restoring balance: principled under/oversampling of data for optimal classification
  43. ICML 2024Robust Classification via a Single Diffusion Model
  44. ICML 2024Sharpness-Aware Data Generation for Zero-shot Quantization
  45. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
  46. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
  47. ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
  48. ICML 2024Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
  49. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
  50. ICML 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance 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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