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 565 篇，第 10 / 12 页

  1. ICML 2024LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
  2. ICML 2024LoRA Training in the NTK Regime has No Spurious Local Minima
  3. ICML 2024LoRA+: Efficient Low Rank Adaptation of Large Models
  4. ICML 2024Low-Cost High-Power Membership Inference Attacks
  5. ICML 2024Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
  6. ICML 2024Low-Rank Similarity Mining for Multimodal Dataset Distillation
  7. ICML 2024LQER: Low-Rank Quantization Error Reconstruction for LLMs
  8. ICML 2024Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
  9. ICML 2024On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
  10. ICML 2024On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
  11. ICML 2024Online Matrix Completion: A Collaborative Approach with Hott Items
  12. ICML 2024Operator SVD with Neural Networks via Nested Low-Rank Approximation
  13. ICML 2024Optimal Coresets for Low-Dimensional Geometric Median
  14. ICML 2024Pairwise Alignment Improves Graph Domain Adaptation
  15. ICML 2024Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
  16. ICML 2024Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
  17. ICML 2024Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
  18. ICML 2024Parameter-Efficient Fine-Tuning with Controls
  19. ICML 2024Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
  20. ICML 2024PcLast: Discovering Plannable Continuous Latent States
  21. ICML 2024Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
  22. ICML 2024Prodigy: An Expeditiously Adaptive Parameter-Free Learner
  23. ICML 2024Prompt-tuning Latent Diffusion Models for Inverse Problems
  24. ICML 2024Provable Interactive Learning with Hindsight Instruction Feedback
  25. ICML 2024Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
  26. ICML 2024Random features models: a way to study the success of naive imputation
  27. ICML 2024Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
  28. ICML 2024Recovering the Pre-Fine-Tuning Weights of Generative Models
  29. ICML 2024Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
  30. ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
  31. ICML 2024Reweighted Solutions for Weighted Low Rank Approximation
  32. ICML 2024Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
  33. ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
  34. ICML 2024Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
  35. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
  36. ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
  37. ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
  38. ICML 2024Sign Rank Limitations for Inner Product Graph Decoders
  39. ICML 2024Simplicity Bias via Global Convergence of Sharpness Minimization
  40. ICML 2024Sparse is Enough in Fine-tuning Pre-trained Large Language Models
  41. ICML 2024SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  42. ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
  43. ICML 2024Symmetric Matrix Completion with ReLU Sampling
  44. ICML 2024TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
  45. ICML 2024Testing the Feasibility of Linear Programs with Bandit Feedback
  46. ICML 2024Towards efficient deep spiking neural networks construction with spiking activity based pruning
  47. ICML 2024Trainable Transformer in Transformer
  48. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
  49. ICML 2024Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
  50. ICML 2024Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature 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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