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

48 papers, page 1 of 1

1. ICML 2025A Closer Look at Multimodal Representation Collapse
2. ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
3. ICML 2025Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
4. ICML 2025Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
5. ICML 2025Balanced Learning for Domain Adaptive Semantic Segmentation
6. ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
7. ICML 2025Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
8. ICML 2025Componential Prompt-Knowledge Alignment for Domain Incremental Learning
9. ICML 2025Concept-Based Unsupervised Domain Adaptation
10. ICML 2025COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
11. ICML 2025Disentangled Graph Spectral Domain Adaptation
12. ICML 2025DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
13. ICML 2025ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
14. ICML 2025FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
15. ICML 2025Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
16. ICML 2025Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
17. ICML 2025GCAL: Adapting Graph Models to Evolving Domain Shifts
18. ICML 2025Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
19. ICML 2025GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
20. ICML 2025Heterogeneous Label Shift: Theory and Algorithm
21. ICML 2025Homophily Enhanced Graph Domain Adaptation
22. ICML 2025How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
23. ICML 2025MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
24. ICML 2025Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
25. ICML 2025Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
26. ICML 2025Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer
27. ICML 2025Neutral residues: revisiting adapters for model extension
28. ICML 2025Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
29. ICML 2025QT-DoG: Quantization-Aware Training for Domain Generalization
30. ICML 2025Random Registers for Cross-Domain Few-Shot Learning
31. ICML 2025Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
32. ICML 2025Self-Bootstrapping for Versatile Test-Time Adaptation
33. ICML 2025Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
34. ICML 2025Set Valued Predictions For Robust Domain Generalization
35. ICML 2025Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
36. ICML 2025Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
37. ICML 2025SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
38. ICML 2025Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
39. ICML 2025Test-Time Adaptation with Binary Feedback
40. ICML 2025The Role of Sparsity for Length Generalization in LLMs
41. ICML 2025Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
42. ICML 2025Transfer Learning for Nonparametric Contextual Dynamic Pricing
43. ICML 2025TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
44. ICML 2025Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning
45. ICML 2025When can in-context learning generalize out of task distribution?
46. ICML 2025When Can Proxies Improve the Sample Complexity of Preference Learning?
47. ICML 2025World Model Implanting for Test-time Adaptation of Embodied Agents
48. ICML 2025Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

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.