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 518 篇，第 7 / 11 页

  1. ICML 2024Random features models: a way to study the success of naive imputation
  2. ICML 2024Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
  3. ICML 2024Recovering the Pre-Fine-Tuning Weights of Generative Models
  4. ICML 2024Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
  5. ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
  6. ICML 2024Reweighted Solutions for Weighted Low Rank Approximation
  7. ICML 2024Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
  8. ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
  9. ICML 2024Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
  10. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
  11. ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
  12. ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
  13. ICML 2024Sign Rank Limitations for Inner Product Graph Decoders
  14. ICML 2024Simplicity Bias via Global Convergence of Sharpness Minimization
  15. ICML 2024Sparse is Enough in Fine-tuning Pre-trained Large Language Models
  16. ICML 2024SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  17. ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
  18. ICML 2024Symmetric Matrix Completion with ReLU Sampling
  19. ICML 2024TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
  20. ICML 2024Testing the Feasibility of Linear Programs with Bandit Feedback
  21. ICML 2024Towards efficient deep spiking neural networks construction with spiking activity based pruning
  22. ICML 2024Trainable Transformer in Transformer
  23. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
  24. ICML 2024Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
  25. ICML 2024Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
  26. NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
  27. NeurIPS 20242DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
  28. NeurIPS 20243-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
  29. NeurIPS 2024A Bayesian Approach to Data Point Selection
  30. NeurIPS 2024A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
  31. NeurIPS 2024A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
  32. NeurIPS 2024Abrupt Learning in Transformers: A Case Study on Matrix Completion
  33. NeurIPS 2024Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
  34. NeurIPS 2024An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
  35. NeurIPS 2024AUC Maximization under Positive Distribution Shift
  36. NeurIPS 2024BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
  37. NeurIPS 2024Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
  38. NeurIPS 2024BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
  39. NeurIPS 2024Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
  40. NeurIPS 2024BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
  41. NeurIPS 2024BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
  42. NeurIPS 2024BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  43. NeurIPS 2024BOLD: Boolean Logic Deep Learning
  44. NeurIPS 2024Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
  45. NeurIPS 2024Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
  46. NeurIPS 2024Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
  47. NeurIPS 2024Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
  48. NeurIPS 2024Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
  49. NeurIPS 2024CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
  50. NeurIPS 2024Communication Efficient Distributed Training with Distributed Lion

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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