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

69 papers, page 1 of 2

1. ICML 2026AvAtar: Learning to Align via Active Optimal Transport
2. ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
3. ICML 2026BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
4. ICML 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
5. ICML 2026CELL: A Causal Perspective for Fairness-aware Graph Adaptation
6. ICML 2026COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-Tuning
7. ICML 2026Content-Style Identification via Differential Independence
8. ICML 2026DADP: Domain Adaptive Diffusion Policy
9. ICML 2026Diffract: Spectral View of LLM Domain Adaptation
10. ICML 2026Discretized Density-Guided Source-Free Domain Adaptation for Regression
11. ICML 2026Domain Adaptation with Adaptive $f$-Divergence: Tighter Variational Representation and Generalization Bounds
12. ICML 2026Domain Adaptive Object Detection via Dynamic Causal Refinement
13. ICML 2026Domain Transfer Becomes Identifiable via a Single Alignment
14. ICML 2026Domain-Shift-Aware Conformal Prediction for Large Language Models
15. ICML 2026DomED: Redesigning Ensemble Distillation for Domain Generalization
16. ICML 2026Energy-Structured Low-Rank Adaptation for Continual Learning
17. ICML 2026Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks
18. ICML 2026Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression
19. ICML 2026Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
20. ICML 2026Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer
21. ICML 2026FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection
22. ICML 2026Geometric Rate–Distortion Invariance for Domain Generalization
23. ICML 2026GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
24. ICML 2026GR-LoRA: Gradient-Recycling Low-Rank Adaptation for Class-Incremental Learning
25. ICML 2026Hedging on the Frontier: Learning New Tasks with Few Samples
26. ICML 2026HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
27. ICML 2026Identifying dependent components from multi-domain linear mixtures
28. ICML 2026Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
29. ICML 2026Incorporating Importance Weighting in Optimal Transport Based Domain Alignment
30. ICML 2026Learning the ESG Geometry with Domain Aware Language Models
31. ICML 2026LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
32. ICML 2026MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
33. ICML 2026Mining Useful General Data for Low-Resource Domain Adaptation
34. ICML 2026Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains
35. ICML 2026OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
36. ICML 2026Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning
37. ICML 2026Progressive Graph Structure Adjustment for Homophily Shift Adaptation
38. ICML 2026Prototype-Based Test-Time Adaptation of Vision-Language Models
39. ICML 2026Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
40. ICML 2026Quantifying Cross-Domain Knowledge Distillation in the Presence of Domain Shift
41. ICML 2026Regularized Discriminative Alignment for Deep Representations under Label Shift
42. ICML 2026Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
43. ICML 2026Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective
44. ICML 2026Return of Frustratingly Easy Unsupervised Video Domain Adaptation
45. ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
46. ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
47. ICML 2026SaTeen: Learning Structural Alignment for Continual Test-Time Adaptation
48. ICML 2026Scale-Aware Domain Harmonization for Domain Adaptation Person Search
49. ICML 2026Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
50. ICML 2026SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned 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.