Foundation Model Adaptation papers, 2023–2026

Key findings

• Foundation Model Adaptation went from 159 papers in 2023 to 602 in 2026, roughly 3.8x in three years.
• NeurIPS publishes the most Foundation Model Adaptation work: 531 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Deep learning · foundation models: papers tagged with both rose from 7 in 2023 to 66 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #1 by 2026 paper count; the fastest grower in the group, Continual Learning, is up 1.7x versus 3.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026(Mis)generalization of Helpful-Only Fine-Tuning
• ICML 2026Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
• ICLR 2026Benchmarking ECG Foundational Models: A Reality Check Across Clinical Tasks
• CVPR 2026CD-Buffer Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather
• NeurIPS 2025An Investigation of Memorization Risk in Healthcare Foundation Models
• ICML 2025A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
• ICLR 2025Better autoregressive regression with LLMs via regression-aware fine-tuning
• CVPR 20255%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
• NeurIPS 2024Instruction Tuning Large Language Models to Understand Electronic Health Records
• ICML 2024By Tying Embeddings You Are Assuming the Distributional Hypothesis
• ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
• CVPR 2024DePT: Decoupled Prompt Tuning
• NeurIPS 2023A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging
• ICML 2023Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
• ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
• CVPR 2023A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
• NeurIPS 2026A Graph Foundation Model for Unified Clustering
• ICML 2026AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
• ICLR 2026Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation
• CVPR 2026Fed-ADE Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift

All Foundation Model Adaptation papers

461 papers, page 1 of 10

1. CVPR 20255%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
2. CVPR 2025AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
3. CVPR 2025AIpparel: A Multimodal Foundation Model for Digital Garments
4. CVPR 2025Argus: A Compact and Versatile Foundation Model for Vision
5. CVPR 2025CH3Depth: Efficient and Flexible Depth Foundation Model with Flow Matching
6. CVPR 2025Charm: The Missing Piece in ViT Fine-Tuning for Image Aesthetic Assessment
7. CVPR 2025CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
8. CVPR 2025COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
9. CVPR 2025CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
10. CVPR 2025CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
11. CVPR 2025DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
12. CVPR 2025Distilling Monocular Foundation Model for Fine-grained Depth Completion
13. CVPR 2025Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics
14. CVPR 2025Efficient Transfer Learning for Video-language Foundation Models
15. CVPR 2025Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
16. CVPR 2025F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
17. CVPR 2025Faster Parameter-Efficient Tuning with Token Redundancy Reduction
18. CVPR 2025Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
19. CVPR 2025Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models
20. CVPR 2025FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
21. CVPR 2025FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
22. CVPR 2025FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning
23. CVPR 2025HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery
24. CVPR 2025Interpreting Object-level Foundation Models via Visual Precision Search
25. CVPR 2025Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
26. CVPR 2025Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning
27. CVPR 2025Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
28. CVPR 2025Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation
29. CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
30. CVPR 2025LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
31. CVPR 2025Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
32. CVPR 2025Magma: A Foundation Model for Multimodal AI Agents
33. CVPR 2025Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation
34. CVPR 2025Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
35. CVPR 2025Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
36. CVPR 2025MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining
37. CVPR 2025MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models
38. CVPR 2025OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
39. CVPR 2025Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
40. CVPR 2025Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
41. CVPR 2025Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
42. CVPR 2025PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
43. CVPR 2025Post-pre-training for Modality Alignment in Vision-Language Foundation Models
44. CVPR 2025Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
45. CVPR 2025Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks
46. CVPR 2025Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
47. CVPR 2025Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
48. CVPR 2025RobSense: A Robust Multi-modal Foundation Model for Remote Sensing with Static, Temporal, and Incomplete Data Adaptability
49. CVPR 2025SapiensID: Foundation for Human Recognition
50. CVPR 2025SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting

FAQ

How many Foundation Model Adaptation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,492 in total: 159 in 2023, 270 in 2024, 461 in 2025, 602 in 2026.

How many Foundation Model Adaptation papers are at NeurIPS 2026?

NeurIPS 2026 has 182 Foundation Model Adaptation papers, versus 174 the year before.

How many Foundation Model Adaptation papers are at ICLR 2026?

ICLR 2026 has 187 Foundation Model Adaptation papers, versus 149 the year before.

How many Foundation Model Adaptation papers are at ICML 2026?

ICML 2026 has 142 Foundation Model Adaptation papers, versus 76 the year before.

How many Foundation Model Adaptation papers are at CVPR 2026?

CVPR 2026 has 91 Foundation Model Adaptation papers, versus 62 the year before.

Which conference publishes the most Foundation Model Adaptation papers?

NeurIPS, with 531 papers from 2023 to 2026.