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
- 低秩适配论文从 2023 年的 282 篇增长到 2026 年的 841 篇，三年间扩大到约 3.0 倍。
- NeurIPS 是发低秩适配论文最多的会议，2023–2026 年共 781 篇，占四个会议总量的 34%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 61 篇。
- 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的缩放定律是 4.1 倍，低秩适配是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 78 | 76 | 65 | 63 | 282 |
| 2024 | 193 | 95 | 124 | 106 | 518 |
| 2025 | 241 | 152 | 136 | 103 | 632 |
| 2026 | 269 | 184 | 240 | 148 | 841 |
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
- NeurIPS 2026$\delta$-Mem: : Efficient Online Memory For Large Language Models
- ICML 2026A3: an Analytical Low-Rank Approximation Framework for Attention
- ICLR 2026A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
- CVPR 20262-Shots in the Dark Low-Light Denoising with Minimal Data Acquisition
- NeurIPS 2025A geometric framework for momentum-based optimizers for low-rank training
- ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
- ICLR 2025A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
- CVPR 2025AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
- NeurIPS 2024Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
- ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
- ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
- CVPR 2024DePT: Decoupled Prompt Tuning
- NeurIPS 2023A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
- ICML 2023A Three-regime Model of Network Pruning
- ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
- CVPR 20231% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
- NeurIPS 2026A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
- ICML 2026Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
- ICLR 2026ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
- CVPR 2026Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
全部低秩适配论文
共 124 篇，第 3 / 3 页
- ICML 2024Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
- ICML 2024Recovering the Pre-Fine-Tuning Weights of Generative Models
- ICML 2024Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
- ICML 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- ICML 2024Reweighted Solutions for Weighted Low Rank Approximation
- ICML 2024Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
- ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
- ICML 2024Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
- ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
- ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
- ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
- ICML 2024Sign Rank Limitations for Inner Product Graph Decoders
- ICML 2024Simplicity Bias via Global Convergence of Sharpness Minimization
- ICML 2024Sparse is Enough in Fine-tuning Pre-trained Large Language Models
- ICML 2024SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
- ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
- ICML 2024Symmetric Matrix Completion with ReLU Sampling
- ICML 2024TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
- ICML 2024Testing the Feasibility of Linear Programs with Bandit Feedback
- ICML 2024Towards efficient deep spiking neural networks construction with spiking activity based pruning
- ICML 2024Trainable Transformer in Transformer
- ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
- ICML 2024Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
- ICML 2024Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature 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"}
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。