低秩适配论文趋势 2023–2026

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。

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 282 篇，第 2 / 6 页

51. CVPR 2023Samples With Low Loss Curvature Improve Data Efficiency
52. CVPR 2023Semi-Supervised Domain Adaptation With Source Label Adaptation
53. CVPR 2023Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
54. CVPR 2023Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
55. CVPR 2023TensoIR: Tensorial Inverse Rendering
56. CVPR 2023ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
57. CVPR 2023Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
58. CVPR 2023Train/Test-Time Adaptation With Retrieval
59. CVPR 2023Trainable Projected Gradient Method for Robust Fine-Tuning
60. CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
61. CVPR 2023Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
62. CVPR 2023You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
63. CVPR 2023You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement
64. ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
65. ICLR 2023A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
66. ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
67. ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
68. ICLR 2023Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
69. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
70. ICLR 2023AnyDA: Anytime Domain Adaptation
71. ICLR 2023Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
72. ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
73. ICLR 2023Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
74. ICLR 2023Characterizing the spectrum of the NTK via a power series expansion
75. ICLR 2023Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
76. ICLR 2023Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
77. ICLR 2023Decision S4: Efficient Sequence-Based RL via State Spaces Layers
78. ICLR 2023Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
79. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
80. ICLR 2023Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
81. ICLR 2023Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
82. ICLR 2023Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
83. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
84. ICLR 2023DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
85. ICLR 2023Effective Self-supervised Pre-training on Low-compute Networks without Distillation
86. ICLR 2023Efficient Conditionally Invariant Representation Learning
87. ICLR 2023Efficient Deep Reinforcement Learning Requires Regulating Overfitting
88. ICLR 2023Efficient Edge Inference by Selective Query
89. ICLR 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
90. ICLR 2023Energy-Based Test Sample Adaptation for Domain Generalization
91. ICLR 2023ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
92. ICLR 2023Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
93. ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
94. ICLR 2023Few-Shot Domain Adaptation For End-to-End Communication
95. ICLR 2023FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
96. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
97. ICLR 2023Hyper-Decision Transformer for Efficient Online Policy Adaptation
98. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
99. ICLR 2023Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
100. ICLR 2023Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions

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。