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

174 papers, page 2 of 4

51. CVPR 2023Learning Adaptive Dense Event Stereo From the Image Domain
52. CVPR 2023Masked Representation Learning for Domain Generalized Stereo Matching
53. CVPR 2023Meta-Causal Learning for Single Domain Generalization
54. CVPR 2023MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
55. CVPR 2023MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
56. CVPR 2023Modality-Agnostic Debiasing for Single Domain Generalization
57. CVPR 2023Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
58. CVPR 2023MOT: Masked Optimal Transport for Partial Domain Adaptation
59. CVPR 2023Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
60. CVPR 2023NICO++: Towards Better Benchmarking for Domain Generalization
61. CVPR 2023Object Detection With Self-Supervised Scene Adaptation
62. CVPR 2023OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation
63. CVPR 2023Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
64. CVPR 2023ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
65. CVPR 2023Progressive Random Convolutions for Single Domain Generalization
66. CVPR 2023Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
67. CVPR 2023Rethinking Federated Learning With Domain Shift: A Prototype View
68. CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
69. CVPR 2023ScarceNet: Animal Pose Estimation With Scarce Annotations
70. CVPR 2023SCoDA: Domain Adaptive Shape Completion for Real Scans
71. CVPR 2023SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
72. CVPR 2023Semi-Supervised Domain Adaptation With Source Label Adaptation
73. CVPR 2023Sharpness-Aware Gradient Matching for Domain Generalization
74. CVPR 2023Single Domain Generalization for LiDAR Semantic Segmentation
75. CVPR 2023Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
76. CVPR 2023Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
77. CVPR 2023Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation
78. CVPR 2023Style Projected Clustering for Domain Generalized Semantic Segmentation
79. CVPR 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
80. CVPR 2023TIPI: Test Time Adaptation With Transformation Invariance
81. CVPR 2023Towards Professional Level Crowd Annotation of Expert Domain Data
82. CVPR 2023TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
83. CVPR 2023UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
84. CVPR 2023Unsupervised Continual Semantic Adaptation Through Neural Rendering
85. CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
86. CVPR 2023Upcycling Models Under Domain and Category Shift
87. CVPR 2023Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning
88. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
89. ICLR 2023AnyDA: Anytime Domain Adaptation
90. ICLR 2023Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
91. ICLR 2023Continual Pre-training of Language Models
92. ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
93. ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
94. ICLR 2023Decompose to Generalize: Species-Generalized Animal Pose Estimation
95. ICLR 2023Deja Vu: Continual Model Generalization for Unseen Domains
96. ICLR 2023Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
97. ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
98. ICLR 2023Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
99. ICLR 2023Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
100. ICLR 2023Domain Generalization via Heckman-type Selection Models

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.