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

602 papers, page 2 of 13

51. CVPR 2026Interactive Tracking A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation
52. CVPR 2026IP-Adapter Is All You Need Towards Fine-Tuning-Free Diffusion-Based Talking Face
53. CVPR 2026Learning to Refuse Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in
54. CVPR 2026LEMON A Large Endoscopic MONocular Dataset and Foundation Model for
55. CVPR 2026LiteVGGT Boosting Vanilla VGGT via Geometry-aware Cached Token Merging
56. CVPR 2026Local Precise Refinement A Dual-Gated Mixture-of-Experts for Enhancing Foundation Model
57. CVPR 2026LoFA Learning to Predict Personalized Prior for Fast Adaptation of
58. CVPR 2026LoPrune Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer
59. CVPR 2026Lyapunov Probes for Hallucination Detection in Large Foundation Models
60. CVPR 2026Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models
61. CVPR 2026MOFA-VTON More Fashion Possibilities with Fine-Grained Adaptations in Virtual Try-On
62. CVPR 2026Multimodal Protein Language Models for Enzyme Kinetic Parameters From Substrate
63. CVPR 2026NitroGen An Open Foundation Model for Generalist Gaming Agents
64. CVPR 2026OccAny Generalized Unconstrained Urban 3D Occupancy
65. CVPR 2026ORION ORthonormal Text Encoding for Universal VLM AdaptatION
66. CVPR 2026ORSATR-X A Foundation Model based on Differential-and-Excitation Networks for Optical
67. CVPR 2026Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition
68. CVPR 2026PointTPA Dynamic Network Parameter Adaptation for 3D Scene Understanding
69. CVPR 2026Probabilistic Prompt Adaptation for Unified Image Aesthetics and Quality Assessment
70. CVPR 2026Rank-Guided Pseudo-Bias Learning for Robust Black-Box Adaptation
71. CVPR 2026ReFTA Breaking the Weight Reconstruction Bottleneck in Tensorized Parameter-Efficient Fine-Tuning
72. CVPR 2026Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
73. CVPR 2026Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning
74. CVPR 2026Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification
75. CVPR 2026Revisiting Model Stitching In the Foundation Model Era
76. CVPR 2026S2FT Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain
77. CVPR 2026Scaling Dense Event-Stream Pretraining from Visual Foundation Models
78. CVPR 2026Selective Regularized and Calibrated Harnessing Vision Foundation Models for Cross-Domain
79. CVPR 2026SHAPE Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for
80. CVPR 2026SoccerMaster A Vision Foundation Model for Soccer Understanding
81. CVPR 2026SOTA Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation
82. CVPR 2026Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning
83. CVPR 2026TANGO Learning Distribution-wise Foundation Prior Consistency and Instance-wise Style Calibration
84. CVPR 2026Tell2Adapt A Unified Framework for Source Free Unsupervised Domain Adaptation
85. CVPR 2026The Blind Spot of Adaptation Quantifying and Mitigating Forgetting in
86. CVPR 2026Towards Realistic and Consistent Orbital Video Generation via 3D Foundation
87. CVPR 2026UniSER A Foundation Model for Unified Soft Effects Removal
88. CVPR 2026Universal 3D Shape Matching via Coarse-to-Fine Language Guidance
89. CVPR 2026Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion
90. CVPR 2026Weight Space Representation Learning via Neural Field Adaptation
91. CVPR 2026WiTTA-Bench Benchmarking Test-Time Adaptation for WiFi Sensing
92. ICLR 2026A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders
93. ICLR 2026A foundation model with multi-variate parallel attention to generate neuronal activity
94. ICLR 2026A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
95. ICLR 2026A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
96. ICLR 2026ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
97. ICLR 2026Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
98. ICLR 2026Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.
99. ICLR 2026ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
100. ICLR 2026Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models

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.