低秩适配论文趋势 2023–2026

LoRA 与参数高效微调

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,273 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

低秩适配论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202378766563282
202419395124106518
2025241152136103632
2026269184240148841

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

全部低秩适配论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 2,272 篇，第 42 / 46 页

  1. CVPR 2023Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
  2. CVPR 2023You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
  3. CVPR 2023You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement
  4. ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
  5. ICLR 2023A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
  6. ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
  7. ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
  8. ICLR 2023Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
  9. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
  10. ICLR 2023AnyDA: Anytime Domain Adaptation
  11. ICLR 2023Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
  12. ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
  13. ICLR 2023Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
  14. ICLR 2023Characterizing the spectrum of the NTK via a power series expansion
  15. ICLR 2023Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
  16. ICLR 2023Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
  17. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
  18. ICLR 2023Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
  19. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
  20. ICLR 2023Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
  21. ICLR 2023Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
  22. ICLR 2023Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
  23. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  24. ICLR 2023DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
  25. ICLR 2023Effective Self-supervised Pre-training on Low-compute Networks without Distillation
  26. ICLR 2023Efficient Conditionally Invariant Representation Learning
  27. ICLR 2023Efficient Deep Reinforcement Learning Requires Regulating Overfitting
  28. ICLR 2023Efficient Edge Inference by Selective Query
  29. ICLR 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
  30. ICLR 2023Energy-Based Test Sample Adaptation for Domain Generalization
  31. ICLR 2023ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
  32. ICLR 2023Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
  33. ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
  34. ICLR 2023Few-Shot Domain Adaptation For End-to-End Communication
  35. ICLR 2023FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
  36. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
  37. ICLR 2023Hyper-Decision Transformer for Efficient Online Policy Adaptation
  38. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
  39. ICLR 2023Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
  40. ICLR 2023Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
  41. ICLR 2023Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
  42. ICLR 2023In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations
  43. ICLR 2023Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
  44. ICLR 2023KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
  45. ICLR 2023Latent State Marginalization as a Low-cost Approach for Improving Exploration
  46. ICLR 2023Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
  47. ICLR 2023Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
  48. ICLR 2023Learning the Positions in CountSketch
  49. ICLR 2023Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
  50. ICLR 2023M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation

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 查低秩适配在 NeurIPS 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": "low-rank-adaptation"}

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低秩适配论文？
共 2,273 篇，按年份分别是 2023 年 282 篇、2024 年 518 篇、2025 年 632 篇、2026 年 841 篇。
NeurIPS 2026 有多少篇低秩适配论文？
NeurIPS 2026 有 269 篇低秩适配论文，上一届是 241 篇。
ICLR 2026 有多少篇低秩适配论文？
ICLR 2026 有 184 篇低秩适配论文，上一届是 152 篇。
ICML 2026 有多少篇低秩适配论文？
ICML 2026 有 240 篇低秩适配论文，上一届是 136 篇。
CVPR 2026 有多少篇低秩适配论文？
CVPR 2026 有 148 篇低秩适配论文，上一届是 103 篇。
哪个会议的低秩适配论文最多？
NeurIPS，2023–2026 年共 781 篇。

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