小样本学习论文趋势 2023–2026

元学习与小样本

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 898 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

小样本学习论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202376564079251
202464383781220
202568363564203
202651385679224

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

全部小样本学习论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 223 篇，第 4 / 5 页

  1. ICML 2026Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
  2. ICML 2026Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation
  3. ICML 2026Prompt Tuning for CLIP on the Pretrained Manifold
  4. ICML 2026Rank-guided Diffusion for Noise Few-Shot Learning
  5. ICML 2026Reasoning Can Be Restored by Correcting a Few Decision Tokens
  6. ICML 2026ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning
  7. ICML 2026ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
  8. ICML 2026Remove the Ambiguity: Few-shot Multimodal Anomaly Detection Using Crossmodal Feature Replacers
  9. ICML 2026SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
  10. ICML 2026SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot
  11. ICML 2026Structure-Centric Graph Foundation Model via Geometric Bases
  12. ICML 2026Structured Expert Routing with Multi-View Task Priors for Offline Meta-Reinforcement Learning
  13. ICML 2026The Hippocampal Place Field Gradient: A Bio-inspired Framework Building Multiscale Representation for Better Sample Efficiency
  14. ICML 2026Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
  15. ICML 2026Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts
  16. ICML 2026Towards a Unified Generative Model for Scarce Time Series with Domain Experts
  17. ICML 2026Universal Algorithm-Implicit Learning
  18. ICML 2026Unsupervised Process-Aware Coreset Selection for In-Context Learning
  19. ICML 2026URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
  20. ICML 2026Weight-Space Learning for Certifiable Few-shot Transfer Learning
  21. ICML 2026XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
  22. ICML 2026ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
  23. NeurIPS 2026AdaWM: Few-Shot Adaptation of World Models to Unseen Dynamical Regimes
  24. NeurIPS 2026BAPM: Boundary-Aware Prompt Mining for Training-Free Few-Shot Medical Image Segmentation
  25. NeurIPS 2026Beyond Normal References: Discriminative Few-Shot Anomaly Detection
  26. NeurIPS 2026CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives
  27. NeurIPS 2026Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
  28. NeurIPS 2026Coresets for Clustering Using Noisy Comparisons and Few Distance Queries
  29. NeurIPS 2026CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
  30. NeurIPS 2026Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
  31. NeurIPS 2026EENAS: Zero-Shot Energy-Efficiency-Aware Neural Architecture Search
  32. NeurIPS 2026Eliciting Zero-Shot Named Entity Recognition in Large Language Models via Instruction Semantic Elaboration
  33. NeurIPS 2026EpistasisBench: Revealing Structural Limitations of Zero-Shot Protein Language Models
  34. NeurIPS 2026Few-shot Task Learning via Compositional Concept Inference
  35. NeurIPS 2026Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
  36. NeurIPS 2026Few-Step Cofolding with All-Atom Flow Maps
  37. NeurIPS 2026Few-Step Diffusion Language Models via Trajectory Self-Distillation
  38. NeurIPS 2026Full Fine-Tuning Is Not the Problem: Why Adam Fails and SGD Succeeds in Few-Shot CLIP Adaptation
  39. NeurIPS 2026GADMVP: Adaptive Few-Shot Graph-Level Anomaly Detection with Multi-View Structured Prompting
  40. NeurIPS 2026GATE-AD: Graph Attention Network Encoding for Few-Shot Industrial Visual Anomaly Detection
  41. NeurIPS 2026GCD: GCM-consistent Diffusion for Zero-shot Downscaling across Heterogeneous GCMs
  42. NeurIPS 2026Geometry over Density: Few-Shot Cross-Domain OOD Detection
  43. NeurIPS 2026Hyperspherical Local Margin Retraction for Zero-Shot Instance-Wise Machine Unlearning
  44. NeurIPS 2026Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data
  45. NeurIPS 2026Learning Transferable Cross-Day Representations for Few-Shot Neural Decoding
  46. NeurIPS 2026Listening to the Wise Few: Query–Key Alignment Unlocks Latent Correct Answers in Large Language Models
  47. NeurIPS 2026Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
  48. NeurIPS 2026Matching2Matching: Zero-Shot Light Field Image Denoising with Matching View Construction
  49. NeurIPS 2026Meta-Reinforcement Learning with Zero-Shot Reinforcement Learning
  50. NeurIPS 2026One-Shot Federated Graph Learning via High-Fidelity Proxies and Transferability-Guided Collaboration

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 查小样本学习在 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": "few-shot-learning"}

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小样本学习论文？
共 898 篇，按年份分别是 2023 年 251 篇、2024 年 220 篇、2025 年 203 篇、2026 年 224 篇。
NeurIPS 2026 有多少篇小样本学习论文？
NeurIPS 2026 有 51 篇小样本学习论文，上一届是 68 篇。
ICLR 2026 有多少篇小样本学习论文？
ICLR 2026 有 38 篇小样本学习论文，上一届是 36 篇。
ICML 2026 有多少篇小样本学习论文？
ICML 2026 有 56 篇小样本学习论文，上一届是 35 篇。
CVPR 2026 有多少篇小样本学习论文？
CVPR 2026 有 79 篇小样本学习论文，上一届是 64 篇。
哪个会议的小样本学习论文最多？
CVPR，2023–2026 年共 303 篇。

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