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 507 篇，第 9 / 11 页

  1. ICLR 2024Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
  2. ICLR 2024Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
  3. ICLR 2024Provable Reward-Agnostic Preference-Based Reinforcement Learning
  4. ICLR 2024Provably Efficient CVaR RL in Low-rank MDPs
  5. ICLR 2024Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
  6. ICLR 2024Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
  7. ICLR 2024QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
  8. ICLR 2024QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
  9. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
  10. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
  11. ICLR 2024Sample-Efficient Quality-Diversity by Cooperative Coevolution
  12. ICLR 2024Set Learning for Accurate and Calibrated Models
  13. ICLR 2024SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
  14. ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
  15. ICLR 2024Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
  16. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
  17. ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
  18. ICLR 2024The Expressive Power of Low-Rank Adaptation
  19. ICLR 2024The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
  20. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  21. ICLR 2024Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
  22. ICLR 2024Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
  23. ICLR 2024Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
  24. ICLR 2024True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
  25. ICLR 2024Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
  26. ICLR 2024UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
  27. ICLR 2024VeRA: Vector-based Random Matrix Adaptation
  28. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  29. ICLR 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
  30. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
  31. ICLR 2024ZeRO++: Extremely Efficient Collective Communication for Large Model Training
  32. ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
  33. ICLR 2023A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
  34. ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
  35. ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
  36. ICLR 2023Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
  37. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
  38. ICLR 2023AnyDA: Anytime Domain Adaptation
  39. ICLR 2023Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
  40. ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
  41. ICLR 2023Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
  42. ICLR 2023Characterizing the spectrum of the NTK via a power series expansion
  43. ICLR 2023Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
  44. ICLR 2023Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
  45. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
  46. ICLR 2023Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
  47. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
  48. ICLR 2023Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
  49. ICLR 2023Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
  50. ICLR 2023Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach

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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