Low-Rank Adaptation papers, 2023–2026
LoRA and parameter-efficient tuning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,273 papers are tagged with this topic.
Key findings
- Low-Rank Adaptation went from 282 papers in 2023 to 841 in 2026, roughly 3.0x in three years.
- NeurIPS publishes the most Low-Rank Adaptation work: 781 papers from 2023 to 2026, 34% of the four-venue total.
- The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 61 in 2026.
- Among the 5 topics under Optimization and Scaling, it ranks #1 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 3.0x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 78 | 76 | 65 | 63 | 282 |
| 2024 | 193 | 95 | 124 | 106 | 518 |
| 2025 | 241 | 152 | 136 | 103 | 632 |
| 2026 | 269 | 184 | 240 | 148 | 841 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Low-Rank Adaptation papers
565 papers, page 12 of 12
- ICML 2023Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
- ICML 2023Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
- ICML 2023Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
- ICML 2023Structural Re-weighting Improves Graph Domain Adaptation
- ICML 2023SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
- ICML 2023Taxonomy-Structured Domain Adaptation
- ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
- ICML 2023The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
- ICML 2023Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming
- ICML 2023Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
- ICML 2023Toward Efficient Gradient-Based Value Estimation
- ICML 2023Uncovering Adversarial Risks of Test-Time Adaptation
- ICML 2023Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
- ICML 2023What Can Be Learnt With Wide Convolutional Neural Networks?
- ICML 2023Which Tricks are Important for Learning to Rank?
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Low-Rank Adaptation papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "low-rank-adaptation"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Low-Rank Adaptation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 2,273 in total: 282 in 2023, 518 in 2024, 632 in 2025, 841 in 2026.
- How many Low-Rank Adaptation papers are at NeurIPS 2026?
- NeurIPS 2026 has 269 Low-Rank Adaptation papers, versus 241 the year before.
- How many Low-Rank Adaptation papers are at ICLR 2026?
- ICLR 2026 has 184 Low-Rank Adaptation papers, versus 152 the year before.
- How many Low-Rank Adaptation papers are at ICML 2026?
- ICML 2026 has 240 Low-Rank Adaptation papers, versus 136 the year before.
- How many Low-Rank Adaptation papers are at CVPR 2026?
- CVPR 2026 has 148 Low-Rank Adaptation papers, versus 103 the year before.
- Which conference publishes the most Low-Rank Adaptation papers?
- NeurIPS, with 781 papers from 2023 to 2026.