Domain Adaptation papers, 2023–2026

Key findings

• Domain Adaptation went from 174 papers in 2023 to 263 in 2026, roughly 1.5x in three years.
• CVPR publishes the most Domain Adaptation work: 268 papers from 2023 to 2026, 31% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 7 in 2023 to 38 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #3 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 1.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
• ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
• ICLR 2026Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation
• CVPR 2026Anatomical Domain Shifts Test-time Heterogeneous Adaptation for 3D Human Pose
• NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
• ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
• ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
• CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
• NeurIPS 2024A Cross-Domain Benchmark for Active Learning
• ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
• ICLR 2024Adapting Large Language Models via Reading Comprehension
• CVPR 2024Day-Night Cross-domain Vehicle Re-identification
• NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
• ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
• ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
• CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
• NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
• ICML 2026Content-Style Identification via Differential Independence
• ICLR 2026Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
• CVPR 2026Bridge Basis-Driven Causal Inference Marries VFMs for Domain Generalization

All Domain Adaptation papers

170 papers, page 2 of 4

51. ICML 2026Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
52. ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
53. ICML 2026Sobolev Regularized Score Difference Estimation in Diffusion Models
54. ICML 2026Spike Camera Autofocus via Frequency-Domain Spectral-Centroid Migration
55. ICML 2026Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
56. ICML 2026SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
57. ICML 2026SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
58. ICML 2026TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
59. ICML 2026Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
60. ICML 2026Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
61. ICML 2026U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
62. ICML 2026Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
63. ICML 2026Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities
64. ICML 2026Variational Adapter for Cross-modal Similarity Representation
65. ICML 2026Variational Learning of Disentangled Representations
66. ICML 2026Walrus: A Cross-domain Foundation Model for Continuum Dynamics
67. ICML 2026What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
68. ICML 2026When Do Graph Foundation Models Transfer? A Data-Centric Theory
69. ICML 2026When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
70. ICML 2025A Closer Look at Multimodal Representation Collapse
71. ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
72. ICML 2025Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
73. ICML 2025Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
74. ICML 2025Balanced Learning for Domain Adaptive Semantic Segmentation
75. ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
76. ICML 2025Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
77. ICML 2025Componential Prompt-Knowledge Alignment for Domain Incremental Learning
78. ICML 2025Concept-Based Unsupervised Domain Adaptation
79. ICML 2025COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
80. ICML 2025Disentangled Graph Spectral Domain Adaptation
81. ICML 2025DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
82. ICML 2025ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
83. ICML 2025FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
84. ICML 2025Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
85. ICML 2025Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
86. ICML 2025GCAL: Adapting Graph Models to Evolving Domain Shifts
87. ICML 2025Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
88. ICML 2025GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
89. ICML 2025Heterogeneous Label Shift: Theory and Algorithm
90. ICML 2025Homophily Enhanced Graph Domain Adaptation
91. ICML 2025How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
92. ICML 2025MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
93. ICML 2025Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
94. ICML 2025Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
95. ICML 2025Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer
96. ICML 2025Neutral residues: revisiting adapters for model extension
97. ICML 2025Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
98. ICML 2025QT-DoG: Quantization-Aware Training for Domain Generalization
99. ICML 2025Random Registers for Cross-Domain Few-Shot Learning
100. ICML 2025Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning

FAQ

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

866 in total: 174 in 2023, 209 in 2024, 220 in 2025, 263 in 2026.

How many Domain Adaptation papers are at NeurIPS 2026?

NeurIPS 2026 has 78 Domain Adaptation papers, versus 81 the year before.

How many Domain Adaptation papers are at ICLR 2026?

ICLR 2026 has 46 Domain Adaptation papers, versus 45 the year before.

How many Domain Adaptation papers are at ICML 2026?

ICML 2026 has 69 Domain Adaptation papers, versus 48 the year before.

How many Domain Adaptation papers are at CVPR 2026?

CVPR 2026 has 70 Domain Adaptation papers, versus 46 the year before.

Which conference publishes the most Domain Adaptation papers?

CVPR, with 268 papers from 2023 to 2026.