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

270 papers, page 1 of 6

1. CVPR 20243D-LFM: Lifting Foundation Model
2. CVPR 2024A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification
3. CVPR 2024Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
4. CVPR 2024All in One Framework for Multimodal Re-identification in the Wild
5. CVPR 2024AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One
6. CVPR 2024ASAM: Boosting Segment Anything Model with Adversarial Tuning
7. CVPR 2024Asymmetric Masked Distillation for Pre-Training Small Foundation Models
8. CVPR 2024BioCLIP: A Vision Foundation Model for the Tree of Life
9. CVPR 2024Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
10. CVPR 2024Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
11. CVPR 2024Bootstrapping SparseFormers from Vision Foundation Models
12. CVPR 2024Bridging Remote Sensors with Multisensor Geospatial Foundation Models
13. CVPR 2024Collaborating Foundation Models for Domain Generalized Semantic Segmentation
14. CVPR 2024DePT: Decoupled Prompt Tuning
15. CVPR 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
16. CVPR 2024Efficient Stitchable Task Adaptation
17. CVPR 2024Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
18. CVPR 2024Federated Online Adaptation for Deep Stereo
19. CVPR 2024FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
20. CVPR 2024Few-Shot Object Detection with Foundation Models
21. CVPR 2024From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
22. CVPR 2024General Object Foundation Model for Images and Videos at Scale
23. CVPR 2024Gradient-based Parameter Selection for Efficient Fine-Tuning
24. CVPR 2024Improved Self-Training for Test-Time Adaptation
25. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
26. CVPR 2024InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
27. CVPR 2024LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
28. CVPR 2024Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
29. CVPR 2024Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
30. CVPR 2024Low-Resource Vision Challenges for Foundation Models
31. CVPR 2024MoML: Online Meta Adaptation for 3D Human Motion Prediction
32. CVPR 2024OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
33. CVPR 2024One-Shot Open Affordance Learning with Foundation Models
34. CVPR 2024OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
35. CVPR 2024Open-Vocabulary 3D Semantic Segmentation with Foundation Models
36. CVPR 2024OpenEQA: Embodied Question Answering in the Era of Foundation Models
37. CVPR 2024Orthogonal Adaptation for Modular Customization of Diffusion Models
38. CVPR 2024Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
39. CVPR 2024Probing the 3D Awareness of Visual Foundation Models
40. CVPR 2024Prompting Vision Foundation Models for Pathology Image Analysis
41. CVPR 2024ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
42. CVPR 2024Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
43. CVPR 2024Rapid Motor Adaptation for Robotic Manipulator Arms
44. CVPR 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
45. CVPR 2024S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data
46. CVPR 2024Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
47. CVPR 2024Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
48. CVPR 2024Sheared Backpropagation for Fine-tuning Foundation Models
49. CVPR 2024Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
50. CVPR 2024Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

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.