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 45 / 46 页

  1. NeurIPS 2023Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
  2. NeurIPS 2023Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
  3. NeurIPS 2023Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization
  4. NeurIPS 2023Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
  5. NeurIPS 2023Combinatorial Optimization with Policy Adaptation using Latent Space Search
  6. NeurIPS 2023Composing Parameter-Efficient Modules with Arithmetic Operation
  7. NeurIPS 2023Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
  8. NeurIPS 2023Context-lumpable stochastic bandits
  9. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
  10. NeurIPS 2023DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
  11. NeurIPS 2023Data Selection for Language Models via Importance Resampling
  12. NeurIPS 2023Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
  13. NeurIPS 2023DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
  14. NeurIPS 2023Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
  15. NeurIPS 2023Efficient Hyper-parameter Optimization with Cubic Regularization
  16. NeurIPS 2023Efficient Low-rank Backpropagation for Vision Transformer Adaptation
  17. NeurIPS 2023Efficient Model-Free Exploration in Low-Rank MDPs
  18. NeurIPS 2023Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
  19. NeurIPS 2023Efficient Testable Learning of Halfspaces with Adversarial Label Noise
  20. NeurIPS 2023Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation
  21. NeurIPS 2023Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms
  22. NeurIPS 2023Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization
  23. NeurIPS 2023Feature Adaptation for Sparse Linear Regression
  24. NeurIPS 2023Geometric Analysis of Matrix Sensing over Graphs
  25. NeurIPS 2023Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
  26. NeurIPS 2023Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
  27. NeurIPS 2023Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
  28. NeurIPS 2023Kissing to Find a Match: Efficient Low-Rank Permutation Representation
  29. NeurIPS 2023Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
  30. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking
  31. NeurIPS 2023Low Tensor Rank Learning of Neural Dynamics
  32. NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
  33. NeurIPS 2023Matrix Compression via Randomized Low Rank and Low Precision Factorization
  34. NeurIPS 2023Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
  35. NeurIPS 2023MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
  36. NeurIPS 2023Multi-Head Adapter Routing for Cross-Task Generalization
  37. NeurIPS 2023Neural Priming for Sample-Efficient Adaptation
  38. NeurIPS 2023Non-Stationary Bandits with Auto-Regressive Temporal Dependency
  39. NeurIPS 2023On the spectral bias of two-layer linear networks
  40. NeurIPS 2023Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
  41. NeurIPS 2023Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
  42. NeurIPS 2023PDP: Parameter-free Differentiable Pruning is All You Need
  43. NeurIPS 2023Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
  44. NeurIPS 2023Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
  45. NeurIPS 2023Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
  46. NeurIPS 2023Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
  47. NeurIPS 2023Q-DM: An Efficient Low-bit Quantized Diffusion Model
  48. NeurIPS 2023QLoRA: Efficient Finetuning of Quantized LLMs
  49. NeurIPS 2023Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
  50. NeurIPS 2023Rank-DETR for High Quality Object Detection

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。

「优化与缩放」下的其他主题