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 35 / 46 页

  1. ICML 2024Differentially Private Domain Adaptation with Theoretical Guarantees
  2. ICML 2024DiJiang: Efficient Large Language Models through Compact Kernelization
  3. ICML 2024DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
  4. ICML 2024Do Efficient Transformers Really Save Computation?
  5. ICML 2024DoRA: Weight-Decomposed Low-Rank Adaptation
  6. ICML 2024DPZero: Private Fine-Tuning of Language Models without Backpropagation
  7. ICML 2024E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
  8. ICML 2024EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
  9. ICML 2024Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
  10. ICML 2024Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
  11. ICML 2024Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
  12. ICML 2024Efficient Pareto Manifold Learning with Low-Rank Structure
  13. ICML 2024Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic
  14. ICML 2024Error Feedback Can Accurately Compress Preconditioners
  15. ICML 2024ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
  16. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
  17. ICML 2024Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
  18. ICML 2024Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
  19. ICML 2024Fast White-Box Adversarial Streaming Without a Random Oracle
  20. ICML 2024Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
  21. ICML 2024FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
  22. ICML 2024Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
  23. ICML 2024FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees
  24. ICML 2024Feedback Efficient Online Fine-Tuning of Diffusion Models
  25. ICML 2024Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
  26. ICML 2024FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
  27. ICML 2024Flora: Low-Rank Adapters Are Secretly Gradient Compressors
  28. ICML 2024FrameQuant: Flexible Low-Bit Quantization for Transformers
  29. ICML 2024From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
  30. ICML 2024GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
  31. ICML 2024Gated Linear Attention Transformers with Hardware-Efficient Training
  32. ICML 2024Generalization Analysis of Deep Non-linear Matrix Completion
  33. ICML 2024Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
  34. ICML 2024Getting the most out of your tokenizer for pre-training and domain adaptation
  35. ICML 2024GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
  36. ICML 2024Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
  37. ICML 2024Harmonizing Generalization and Personalization in Federated Prompt Learning
  38. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
  39. ICML 2024High-Dimensional Geometric Streaming for Nearly Low Rank Data
  40. ICML 2024Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
  41. ICML 2024IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
  42. ICML 2024IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
  43. ICML 2024Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
  44. ICML 2024Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
  45. ICML 2024Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
  46. ICML 2024LESS: Selecting Influential Data for Targeted Instruction Tuning
  47. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
  48. ICML 2024LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
  49. ICML 2024LoRA Training in the NTK Regime has No Spurious Local Minima
  50. ICML 2024LoRA+: Efficient Low Rank Adaptation of Large 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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