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

220 papers, page 2 of 5

51. ICLR 2025Chunk-Distilled Language Modeling
52. ICLR 2025Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
53. ICLR 2025DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
54. ICLR 2025Decoupled Finetuning for Domain Generalizable Semantic Segmentation
55. ICLR 2025Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
56. ICLR 2025Do Deep Neural Network Solutions Form a Star Domain?
57. ICLR 2025Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
58. ICLR 2025DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
59. ICLR 2025Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
60. ICLR 2025Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
61. ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
62. ICLR 2025FreDF: Learning to Forecast in the Frequency Domain
63. ICLR 2025HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
64. ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
65. ICLR 2025Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
66. ICLR 2025LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
67. ICLR 2025LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
68. ICLR 2025Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
69. ICLR 2025Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
70. ICLR 2025On the Benefits of Attribute-Driven Graph Domain Adaptation
71. ICLR 2025On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
72. ICLR 2025OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
73. ICLR 2025Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
74. ICLR 2025PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
75. ICLR 2025pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
76. ICLR 2025Proxy Denoising for Source-Free Domain Adaptation
77. ICLR 2025RaSA: Rank-Sharing Low-Rank Adaptation
78. ICLR 2025RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
79. ICLR 2025Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
80. ICLR 2025SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
81. ICLR 2025Selective Aggregation for Low-Rank Adaptation in Federated Learning
82. ICLR 2025Selective Label Enhancement Learning for Test-Time Adaptation
83. ICLR 2025Selective Unlearning via Representation Erasure Using Domain Adversarial Training
84. ICLR 2025Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
85. ICLR 2025STAMP: Scalable Task- And Model-agnostic Collaborative Perception
86. ICLR 2025Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
87. ICLR 2025Test-time Adaptation for Cross-modal Retrieval with Query Shift
88. ICLR 2025Test-time Adaptation for Image Compression with Distribution Regularization
89. ICLR 2025Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation
90. ICLR 2025Towards Domain Adaptive Neural Contextual Bandits
91. ICLR 2025Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
92. ICML 2025A Closer Look at Multimodal Representation Collapse
93. ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
94. ICML 2025Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
95. ICML 2025Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
96. ICML 2025Balanced Learning for Domain Adaptive Semantic Segmentation
97. ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
98. ICML 2025Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
99. ICML 2025Componential Prompt-Knowledge Alignment for Domain Incremental Learning
100. ICML 2025Concept-Based Unsupervised Domain Adaptation

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.