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

35 papers, page 1 of 1

1. ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
2. ICLR 2023AnyDA: Anytime Domain Adaptation
3. ICLR 2023Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
4. ICLR 2023Continual Pre-training of Language Models
5. ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
6. ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
7. ICLR 2023Decompose to Generalize: Species-Generalized Animal Pose Estimation
8. ICLR 2023Deja Vu: Continual Model Generalization for Unseen Domains
9. ICLR 2023Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
10. ICLR 2023Discovering Informative and Robust Positives for Video Domain Adaptation
11. ICLR 2023Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
12. ICLR 2023Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
13. ICLR 2023Domain Generalization via Heckman-type Selection Models
14. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
15. ICLR 2023Energy-Based Test Sample Adaptation for Domain Generalization
16. ICLR 2023FedDAR: Federated Domain-Aware Representation Learning
17. ICLR 2023Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
18. ICLR 2023Few-Shot Domain Adaptation For End-to-End Communication
19. ICLR 2023Free Lunch for Domain Adversarial Training: Environment Label Smoothing
20. ICLR 2023Graph Domain Adaptation via Theory-Grounded Spectral Regularization
21. ICLR 2023Information-Theoretic Analysis of Unsupervised Domain Adaptation
22. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
23. ICLR 2023Learning Domain-Agnostic Representation for Disease Diagnosis
24. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
25. ICLR 2023PGrad: Learning Principal Gradients For Domain Generalization
26. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
27. ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
28. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
29. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
30. ICLR 2023Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
31. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
32. ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
33. ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
34. ICLR 2023Using Language to Extend to Unseen Domains
35. ICLR 2023When Source-Free Domain Adaptation Meets Learning with Noisy Labels

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.