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

共 781 篇,第 8 / 16 页

  1. NeurIPS 2025Functional Complexity-adaptive Temporal Tensor Decomposition
  2. NeurIPS 2025GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
  3. NeurIPS 2025Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
  4. NeurIPS 2025GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion
  5. NeurIPS 2025Generalization Bounds for Rank-sparse Neural Networks
  6. NeurIPS 2025GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
  7. NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
  8. NeurIPS 2025GoRA: Gradient-driven Adaptive Low Rank Adaptation
  9. NeurIPS 2025GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
  10. NeurIPS 2025Graph Data Selection for Domain Adaptation: A Model-Free Approach
  11. NeurIPS 2025Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
  12. NeurIPS 2025Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
  13. NeurIPS 2025HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
  14. NeurIPS 2025HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
  15. NeurIPS 2025Heterogeneous Diffusion Structure Inference for Network Cascade
  16. NeurIPS 2025Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
  17. NeurIPS 2025Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
  18. NeurIPS 2025High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
  19. NeurIPS 2025HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
  20. NeurIPS 2025How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
  21. NeurIPS 2025Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning
  22. NeurIPS 2025Hyperbolic Fine-Tuning for Large Language Models
  23. NeurIPS 2025Identifiability of Deep Polynomial Neural Networks
  24. NeurIPS 2025Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
  25. NeurIPS 2025Irrational Complex Rotations Empower Low-bit Optimizers
  26. NeurIPS 2025Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
  27. NeurIPS 2025Latent Space Factorization in LoRA
  28. NeurIPS 2025LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
  29. NeurIPS 2025Learning Counterfactual Outcomes Under Rank Preservation
  30. NeurIPS 2025Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
  31. NeurIPS 2025Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
  32. NeurIPS 2025Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification
  33. NeurIPS 2025Learning to Rank for In-Context Example Retrieval
  34. NeurIPS 2025Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
  35. NeurIPS 2025Linear Transformers Implicitly Discover Unified Numerical Algorithms
  36. NeurIPS 2025Linearization Explains Fine-Tuning in Large Language Models
  37. NeurIPS 2025LittleBit: Ultra Low-Bit Quantization via Latent Factorization
  38. NeurIPS 2025LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
  39. NeurIPS 2025Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
  40. NeurIPS 2025LoRA vs Full Fine-tuning: An Illusion of Equivalence
  41. NeurIPS 2025LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
  42. NeurIPS 2025LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
  43. NeurIPS 2025LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
  44. NeurIPS 2025LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
  45. NeurIPS 2025LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
  46. NeurIPS 2025Low Precision Streaming PCA
  47. NeurIPS 2025Low Rank Gradients and Where to Find Them
  48. NeurIPS 2025Low-degree evidence for computational transition of recovery rate in stochastic block model
  49. NeurIPS 2025Low-Rank Graphon Learning for Networks
  50. NeurIPS 2025Low-Rank Head Avatar Personalization with Registers

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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"}

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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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