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 1 of 5

1. CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
2. CVPR 2025ABC-Former: Auxiliary Bimodal Cross-domain Transformer with Interactive Channel Attention for White Balance
3. CVPR 2025ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation
4. CVPR 2025Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
5. CVPR 2025AvatarArtist: Open-Domain 4D Avatarization
6. CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
7. CVPR 2025Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
8. CVPR 2025CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
9. CVPR 2025COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
10. CVPR 2025Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
11. CVPR 2025Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
12. CVPR 2025DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
13. CVPR 2025Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
14. CVPR 2025Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation
15. CVPR 2025Dynamic Updates for Language Adaptation in Visual-Language Tracking
16. CVPR 2025EventFly: Event Camera Perception from Ground to the Sky
17. CVPR 2025Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
18. CVPR 2025Federated Learning with Domain Shift Eraser
19. CVPR 2025Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM
20. CVPR 2025Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
21. CVPR 2025Gradient-Guided Annealing for Domain Generalization
22. CVPR 2025Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
23. CVPR 2025Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation
24. CVPR 2025Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
25. CVPR 2025Mixture of Submodules for Domain Adaptive Person Search
26. CVPR 2025MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining
27. CVPR 2025MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
28. CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
29. CVPR 2025ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation
30. CVPR 2025Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
31. CVPR 2025OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction
32. CVPR 2025PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
33. CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
34. CVPR 2025Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
35. CVPR 2025SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting
36. CVPR 2025Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
37. CVPR 2025SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection
38. CVPR 2025SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
39. CVPR 2025SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
40. CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
41. CVPR 2025TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
42. CVPR 2025The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
43. CVPR 2025UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
44. CVPR 2025UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
45. CVPR 2025Universal Domain Adaptation for Semantic Segmentation
46. CVPR 2025When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
47. ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
48. ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
49. ICLR 2025Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
50. ICLR 2025Binary Losses for Density Ratio Estimation

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.