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 507 篇，第 2 / 11 页

  1. ICLR 2026Efficient Spatially-Variant Convolution via Differentiable Sparse Kernel Complex
  2. ICLR 2026EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning
  3. ICLR 2026Enabling Fine-Tuning of Direct Feedback Alignment via Feedback-Weight Matching
  4. ICLR 2026Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization
  5. ICLR 2026Exposing Mixture and Annotating Confusion for Active Universal Test-Time Adaptation
  6. ICLR 2026Faster Parameter-Free Regret Matching Algorithms
  7. ICLR 2026FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models
  8. ICLR 2026Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
  9. ICLR 2026Flatness Guided Test-Time Adaptation for Vision-Language Models
  10. ICLR 2026FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates
  11. ICLR 2026FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
  12. ICLR 2026FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
  13. ICLR 2026Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages
  14. ICLR 2026Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
  15. ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
  16. ICLR 2026FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing
  17. ICLR 2026GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
  18. ICLR 2026GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
  19. ICLR 2026Gradient Descent Dynamics of Rank-One Matrix Denoising
  20. ICLR 2026Gradient Intrinsic Dimensionality Alignment：Narrowing The Gap Between Low-Rank Adaptation and Full Fine-Tuning
  21. ICLR 2026GradPruner: Gradient-guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs
  22. ICLR 2026HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
  23. ICLR 2026Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation
  24. ICLR 2026Hidden Breakthroughs in Language Model Training
  25. ICLR 2026HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning
  26. ICLR 2026Homeostatic Adaptation of Optimal Population Codes under Metabolic Stress
  27. ICLR 2026Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation
  28. ICLR 2026IA2: Alignment with ICL Activations improves Supervised Fine-Tuning
  29. ICLR 2026IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
  30. ICLR 2026IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
  31. ICLR 2026Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness
  32. ICLR 2026IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
  33. ICLR 2026INSTANT: Compressing Gradients and Activations for Resource-Efficient Training
  34. ICLR 2026Intrinsic training dynamics of deep neural networks
  35. ICLR 2026Is Finer Better? The Limits of Microscaling Formats in Large Language Models
  36. ICLR 2026JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe
  37. ICLR 2026KeepLoRA: Continual Learning with Residual Gradient Adaptation
  38. ICLR 2026LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
  39. ICLR 2026Large Language Model Compression with Global Rank and Sparsity Optimization
  40. ICLR 2026Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
  41. ICLR 2026Learning to Interpret Weight Differences in Language Models
  42. ICLR 2026LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
  43. ICLR 2026LogART: Pushing the Limit of Efficient Logarithmic Post-Training Quantization
  44. ICLR 2026LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters
  45. ICLR 2026LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
  46. ICLR 2026LoRA-S: An Efficient Low Rank Adaptation scheme via Sylvester equation
  47. ICLR 2026LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
  48. ICLR 2026Low rank adaptation of chemical foundation models generate effective odorant representations
  49. ICLR 2026Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
  50. ICLR 2026Low-pass Personalized Subgraph Federated Recommendation

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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