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 518 篇，第 9 / 11 页

  1. NeurIPS 2024Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
  2. NeurIPS 2024Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
  3. NeurIPS 2024Inferring stochastic low-rank recurrent neural networks from neural data
  4. NeurIPS 2024Instruction Tuning With Loss Over Instructions
  5. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
  6. NeurIPS 2024Is Multiple Object Tracking a Matter of Specialization?
  7. NeurIPS 2024Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
  8. NeurIPS 2024KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
  9. NeurIPS 2024L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
  10. NeurIPS 2024LaSCal: Label-Shift Calibration without target labels
  11. NeurIPS 2024Learn more, but bother less: parameter efficient continual learning
  12. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
  13. NeurIPS 2024Learning Discrete Latent Variable Structures with Tensor Rank Conditions
  14. NeurIPS 2024Learning Elastic Costs to Shape Monge Displacements
  15. NeurIPS 2024Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
  16. NeurIPS 2024Learning from Offline Foundation Features with Tensor Augmentations
  17. NeurIPS 2024Learning Low-Rank Feature for Thorax Disease Classification
  18. NeurIPS 2024Leveraging partial stragglers within gradient coding
  19. NeurIPS 2024LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages
  20. NeurIPS 2024LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  21. NeurIPS 2024LoFiT: Localized Fine-tuning on LLM Representations
  22. NeurIPS 2024Loki: Low-rank Keys for Efficient Sparse Attention
  23. NeurIPS 2024Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
  24. NeurIPS 2024LoQT: Low-Rank Adapters for Quantized Pretraining
  25. NeurIPS 2024LoRA-GA: Low-Rank Adaptation with Gradient Approximation
  26. NeurIPS 2024LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
  27. NeurIPS 2024Low Degree Hardness for Broadcasting on Trees
  28. NeurIPS 2024Low Precision Local Training is Enough for Federated Learning
  29. NeurIPS 2024Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
  30. NeurIPS 2024LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
  31. NeurIPS 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
  32. NeurIPS 2024Memory-Efficient LLM Training with Online Subspace Descent
  33. NeurIPS 2024Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
  34. NeurIPS 2024Metric Transforms and Low Rank Representations of Kernels for Fast Attention
  35. NeurIPS 2024MKGL: Mastery of a Three-Word Language
  36. NeurIPS 2024Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
  37. NeurIPS 2024Multistable Shape from Shading Emerges from Patch Diffusion
  38. NeurIPS 2024Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
  39. NeurIPS 2024Neural Embeddings Rank: Aligning 3D latent dynamics with movements
  40. NeurIPS 2024Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
  41. NeurIPS 2024NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
  42. NeurIPS 2024Nimbus: Secure and Efficient Two-Party Inference for Transformers
  43. NeurIPS 2024No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
  44. NeurIPS 2024Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
  45. NeurIPS 2024Nuclear Norm Regularization for Deep Learning
  46. NeurIPS 2024Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
  47. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
  48. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
  49. NeurIPS 2024On Sparse Canonical Correlation Analysis
  50. NeurIPS 2024On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

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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