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

共 781 篇,第 12 / 16 页

  1. NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
  2. NeurIPS 2024Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
  3. NeurIPS 2024Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
  4. NeurIPS 2024Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
  5. NeurIPS 2024Efficient Discrepancy Testing for Learning with Distribution Shift
  6. NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
  7. NeurIPS 2024Efficient LLM Scheduling by Learning to Rank
  8. NeurIPS 2024Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
  9. NeurIPS 2024Efficient Reinforcement Learning by Discovering Neural Pathways
  10. NeurIPS 2024EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
  11. NeurIPS 2024Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
  12. NeurIPS 2024Entrywise error bounds for low-rank approximations of kernel matrices
  13. NeurIPS 2024Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
  14. NeurIPS 2024Expanding Sparse Tuning for Low Memory Usage
  15. NeurIPS 2024Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing
  16. NeurIPS 2024F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
  17. NeurIPS 2024Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
  18. NeurIPS 2024Federated Black-Box Adaptation for Semantic Segmentation
  19. NeurIPS 2024Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
  20. NeurIPS 2024Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
  21. NeurIPS 2024Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language
  22. NeurIPS 2024FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
  23. NeurIPS 2024FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
  24. NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
  25. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
  26. NeurIPS 2024Frustratingly Easy Test-Time Adaptation of Vision-Language Models
  27. NeurIPS 2024Geometry-aware training of factorized layers in tensor Tucker format
  28. NeurIPS 2024Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
  29. NeurIPS 2024Group and Shuffle: Efficient Structured Orthogonal Parametrization
  30. NeurIPS 2024Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
  31. NeurIPS 2024Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
  32. NeurIPS 2024How do Large Language Models Handle Multilingualism?
  33. NeurIPS 2024HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  34. NeurIPS 2024Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
  35. NeurIPS 2024Improving Deep Learning Optimization through Constrained Parameter Regularization
  36. NeurIPS 2024Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
  37. NeurIPS 2024Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
  38. NeurIPS 2024Inferring stochastic low-rank recurrent neural networks from neural data
  39. NeurIPS 2024Instruction Tuning With Loss Over Instructions
  40. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
  41. NeurIPS 2024Is Multiple Object Tracking a Matter of Specialization?
  42. NeurIPS 2024Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
  43. NeurIPS 2024KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
  44. NeurIPS 2024L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
  45. NeurIPS 2024LaSCal: Label-Shift Calibration without target labels
  46. NeurIPS 2024Learn more, but bother less: parameter efficient continual learning
  47. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
  48. NeurIPS 2024Learning Discrete Latent Variable Structures with Tensor Rank Conditions
  49. NeurIPS 2024Learning Elastic Costs to Shape Monge Displacements
  50. NeurIPS 2024Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks

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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"}

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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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