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 33 / 46 页

  1. ICLR 2024DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
  2. ICLR 2024Debiasing Algorithm through Model Adaptation
  3. ICLR 2024DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
  4. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
  5. ICLR 2024Dissecting learning and forgetting in language model finetuning
  6. ICLR 2024DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
  7. ICLR 2024Dynamic Layer Tying for Parameter-Efficient Transformers
  8. ICLR 2024Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
  9. ICLR 2024EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
  10. ICLR 2024Enhancing Neural Training via a Correlated Dynamics Model
  11. ICLR 2024Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
  12. ICLR 2024FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
  13. ICLR 2024Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
  14. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
  15. ICLR 2024Gradual Domain Adaptation via Gradient Flow
  16. ICLR 2024Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
  17. ICLR 2024Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
  18. ICLR 2024Improving LoRA in Privacy-preserving Federated Learning
  19. ICLR 2024Improving Non-Transferable Representation Learning by Harnessing Content and Style
  20. ICLR 2024Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
  21. ICLR 2024Koopman-based generalization bound: New aspect for full-rank weights
  22. ICLR 2024Learning Conditional Invariances through Non-Commutativity
  23. ICLR 2024Learning Hierarchical Polynomials with Three-Layer Neural Networks
  24. ICLR 2024Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
  25. ICLR 2024Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
  26. ICLR 2024LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
  27. ICLR 2024LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
  28. ICLR 2024LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
  29. ICLR 2024LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
  30. ICLR 2024Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
  31. ICLR 2024LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
  32. ICLR 2024Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
  33. ICLR 2024Mixture of LoRA Experts
  34. ICLR 2024Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
  35. ICLR 2024Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
  36. ICLR 2024NOLA: Compressing LoRA using Linear Combination of Random Basis
  37. ICLR 2024OctoPack: Instruction Tuning Code Large Language Models
  38. ICLR 2024Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms
  39. ICLR 2024OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
  40. ICLR 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
  41. ICLR 2024Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
  42. ICLR 2024Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
  43. ICLR 2024Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
  44. ICLR 2024Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
  45. ICLR 2024Provable Reward-Agnostic Preference-Based Reinforcement Learning
  46. ICLR 2024Provably Efficient CVaR RL in Low-rank MDPs
  47. ICLR 2024Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
  48. ICLR 2024Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
  49. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
  50. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

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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