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 269 篇，第 5 / 6 页

  1. NeurIPS 2026Regret-Optimal Wasserstein-Robust Regression
  2. NeurIPS 2026Relative Energy Barriers for Copyright-Aware Language Model Adaptation
  3. NeurIPS 2026Reset Dependence Is Embodied: Training Protocol Changes Which Morphologies Appear Optimal
  4. NeurIPS 2026Resource-Aware Parameter-Efficient Model Adaptation for Onboard High-Dimensional Data
  5. NeurIPS 2026Rest-Tuning: Data-Efficient Adaptation of EEG Foundation Models to Individuals via Resting-State Signals
  6. NeurIPS 2026Rethinking LLM Fine-Tuning via Weight Space Reparameterization: Preserving Safety during Downstream Adaptation
  7. NeurIPS 2026Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization
  8. NeurIPS 2026RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents
  9. NeurIPS 2026Robust Noisy Inductive Matrix Completion with Local Linear Convergence
  10. NeurIPS 2026Route-Consistent Adaptation for Stable Quantization of Mixture-of-Experts Models with Theoretical Guarantees
  11. NeurIPS 2026RubiConv - Efficient Boundary-Respecting Convolutions
  12. NeurIPS 2026Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
  13. NeurIPS 2026SaMA: Morpho Adaptation via Asymmetric Expansion of Kronecker Product
  14. NeurIPS 2026SARA: Step-Adaptive Rank Adjustment for Diffusion Inference Acceleration
  15. NeurIPS 2026Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters
  16. NeurIPS 2026SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation
  17. NeurIPS 2026SDS-LoRA: Overcoming Anisotropic Gradient Scaling in Low-Rank Adaptation
  18. NeurIPS 2026Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
  19. NeurIPS 2026Self-Tuning Graph Filters via State-Dependent Operator Composition
  20. NeurIPS 2026Semantic-Statistical Prior Banks for Federated Low-Shot Learning under Non-IID Clients
  21. NeurIPS 2026Sliced Wasserstein Meets Quantum Optics: Provable Wavefunctions Tomography with Scarce Noisy Measurements
  22. NeurIPS 2026SpecBlock: Block-Iterative Speculative Decoding with Dynamic Tree Drafting
  23. NeurIPS 2026SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization
  24. NeurIPS 2026Spectral Alignment in Forward–Backward Representations via Temporal Abstraction
  25. NeurIPS 2026Spectral Energy Allocation Enables Source-Free Domain Adaptation in Time Series Forecasting
  26. NeurIPS 2026Spectral Rank Calibration for Continual LoRA Merging in Multimodal Large Language Models
  27. NeurIPS 2026Spectral Reversal: Counteracting Singular Value Bias for Graph Prompting
  28. NeurIPS 2026SPHQuant: Efficient extreme low bit weight quantization for Vision-Language Models
  29. NeurIPS 2026Spike-SFT: Selective Parameter Enhancement and Fusion for Efficient Spiking Neural Networks
  30. NeurIPS 2026SPIRIT: Speed-Driven Online Adaptation for Self-Speculative Decoding
  31. NeurIPS 2026SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
  32. NeurIPS 2026Stabilizing the Dynamic Low-Rank Training
  33. NeurIPS 2026STAC-R: Subspace-Tracked Activation Compression with Residuals
  34. NeurIPS 2026State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
  35. NeurIPS 2026Stealthy World Model Manipulation via Data Poisoning
  36. NeurIPS 2026TailAdapt: Heavy-Tailed Sparse Variational Adaptation for Long-Tailed Class Incremental Learning
  37. NeurIPS 2026Temporal Smoothness Constraints on Efficient Neurobiological Codes Imply Temporal Specialization
  38. NeurIPS 2026Test-time Risk Adaptation with Mixture of Agents
  39. NeurIPS 2026The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models
  40. NeurIPS 2026The Hidden Power of Scaling Factor in LoRA Optimization
  41. NeurIPS 2026The Illusion of Forgetting: Rank Leakage in Knowledge Editing and Its Mitigation
  42. NeurIPS 2026The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation
  43. NeurIPS 2026The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology
  44. NeurIPS 2026The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation
  45. NeurIPS 2026TILT: Target-induced loss tilting under covariate shift
  46. NeurIPS 2026Time-Frequency Decoupled Cross-Scale Partial Optimal Transport for Time Series Domain Adaptation
  47. NeurIPS 2026TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information
  48. NeurIPS 2026Towards Identifying Dominant Low-Rank Subspaces in Zeroth-Order Fine-Tuning
  49. NeurIPS 2026Towards Unified Memory Adaptation for LLM Agents: Textual, Latent, and Parametric Pathways
  50. NeurIPS 2026Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

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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