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 565 篇，第 5 / 12 页

  1. ICML 2026Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning
  2. ICML 2026Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation
  3. ICML 2026TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control
  4. ICML 2026The Appeal and Reality of Recycling LoRAs with Adaptive Merging
  5. ICML 2026The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought
  6. ICML 2026The Geometry of Narrow Fine-Tuning Degradation: Trajectory Lock-in and Spectral Bifurcation
  7. ICML 2026The Geometry of Updates: Fisher Alignment at Vocabulary Scale
  8. ICML 2026Theory of Minimal Weight Perturbations in Deep Networks and its Applications for Low-Rank Activated Backdoor Attacks
  9. ICML 2026TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling
  10. ICML 2026TokenDrop: Token-Level Importance-Aware Backward Propagation Skipping for Efficient LLM Fine-Tuning
  11. ICML 2026TopAdapter: Topology-Aware Prompt Tuning for Efficient Point Cloud Understanding
  12. ICML 2026Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
  13. ICML 2026Towards Understanding the Dynamics of Low-Rank Adaptation
  14. ICML 2026TPV: Parameter Perturbations Through the Lens of Test Prediction Variance
  15. ICML 2026Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform
  16. ICML 2026Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment
  17. ICML 2026Transport Clustering: Solving Low-Rank Optimal Transport via Clustering
  18. ICML 2026Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
  19. ICML 2026Tucker Attention: A generalization of approximate attention mechanisms
  20. ICML 2026Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
  21. ICML 2026TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
  22. ICML 2026U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
  23. ICML 2026UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models
  24. ICML 2026Ultrafast On-Chip Online Learning via Spline Locality in Kolmogorov–Arnold Networks
  25. ICML 2026Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics
  26. ICML 2026Understanding LoRA as Knowledge Memory: An Empirical Analysis
  27. ICML 2026UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning
  28. ICML 2026Unifying Low Dimensional Spectra in Deep Learning
  29. ICML 2026UniSVQ: 2-bit Unified Scalar-Vector Quantization
  30. ICML 2026Video-SVD: Efficient Video Diffusion via Orthogonal Basis Composition
  31. ICML 2026Weight Updates as Activation Shifts: A Principled Framework for Steering
  32. ICML 2026What Makes Value Learning Efficient in Residual Reinforcement Learning?
  33. ICML 2026What Reward Structure Enables Efficient Sparse-Reward RL? A Proof-of-Concept with Policy-Aware Matrix Completion
  34. ICML 2026When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
  35. ICML 2026When Is Rank-1 Enough? Geometry-Guided Initialization for Parameter-Efficient Fine-Tuning
  36. ICML 2026When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
  37. ICML 2026WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points
  38. ICML 2026Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
  39. ICML 2026xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
  40. ICML 2026Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression
  41. ICML 2025A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
  42. ICML 2025A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
  43. ICML 2025All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
  44. ICML 2025Approximation to Smooth Functions by Low-Rank Swish Networks
  45. ICML 2025Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning
  46. ICML 2025Autonomy-of-Experts Models
  47. ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
  48. ICML 2025Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
  49. ICML 2025BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
  50. ICML 2025Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning

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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